diff --git a/imadsconf.yaml b/imadsconf.yaml
index ea629d4..53cfa5a 100644
--- a/imadsconf.yaml
+++ b/imadsconf.yaml
@@ -19,6 +19,8 @@ genome_data:
     family: bHLH
     fix_script: bigBedToBed
     name: c-Myc_0001
+    preference_max: ''
+    preference_min: ''
     sort_max_guess: 0.6
     type: PREDICTION
     url: http://trackhub.genome.duke.edu/gordanlab/tf-dna-binding-predictions/hg19/hg19_0001_c-Myc.bb
@@ -27,6 +29,8 @@ genome_data:
     family: bHLH
     fix_script: bigBedToBed
     name: Mad1_0002
+    preference_max: ''
+    preference_min: ''
     sort_max_guess: 0.6
     type: PREDICTION
     url: http://trackhub.genome.duke.edu/gordanlab/tf-dna-binding-predictions/hg19/hg19_0002_Mad1.bb
@@ -35,6 +39,8 @@ genome_data:
     family: bHLH
     fix_script: bigBedToBed
     name: Max_0003
+    preference_max: ''
+    preference_min: ''
     sort_max_guess: 0.6
     type: PREDICTION
     url: http://trackhub.genome.duke.edu/gordanlab/tf-dna-binding-predictions/hg19/hg19_0003_Max.bb
@@ -43,24 +49,8 @@ genome_data:
     family: bHLH
     fix_script: bigBedToBed
     name: Mad1_0002_vs_c-Myc_0001
-    preference_bins:
-      neg:
-      - 2.92
-      - 3.27
-      - 3.64
-      - 3.84
-      - 3.91
-      - 4.64
-      - 4.66
-      pos:
-      - 2.73
-      - 2.89
-      - 3.05
-      - 3.23
-      - 3.39
-      - 3.58
-      - 3.84
-      - 4.22
+    preference_max: 6.85
+    preference_min: -12.14
     sort_max_guess: 16
     type: PREFERENCE
     url: http://trackhub.genome.duke.edu/gordanlab/tf-dna-preferences//hg19/hg19_Mad1_0002_vs_c-Myc_0001.bb
@@ -69,25 +59,8 @@ genome_data:
     family: bHLH
     fix_script: bigBedToBed
     name: Mad1_0002_vs_Max_0003
-    preference_bins:
-      neg:
-      - 2.77
-      - 2.98
-      - 3.22
-      - 3.54
-      - 4.37
-      - 5.45
-      - 5.71
-      - 6.07
-      pos:
-      - 2.64
-      - 2.74
-      - 2.86
-      - 3.0
-      - 3.19
-      - 3.3
-      - 3.46
-      - 3.63
+    preference_max: 6.28
+    preference_min: -7.43
     sort_max_guess: 16
     type: PREFERENCE
     url: http://trackhub.genome.duke.edu/gordanlab/tf-dna-preferences//hg19/hg19_Mad1_0002_vs_Max_0003.bb
@@ -96,25 +69,8 @@ genome_data:
     family: bHLH
     fix_script: bigBedToBed
     name: Max_0003_vs_c-Myc_0001
-    preference_bins:
-      neg:
-      - 2.68
-      - 2.79
-      - 2.91
-      - 3.05
-      - 3.23
-      - 3.42
-      - 3.69
-      - 4.13
-      pos:
-      - 2.73
-      - 2.88
-      - 3.01
-      - 3.18
-      - 3.39
-      - 3.63
-      - 3.95
-      - 4.43
+    preference_max: 8.59
+    preference_min: -8.24
     sort_max_guess: 16
     type: PREFERENCE
     url: http://trackhub.genome.duke.edu/gordanlab/tf-dna-preferences//hg19/hg19_Max_0003_vs_c-Myc_0001.bb
@@ -123,6 +79,8 @@ genome_data:
     family: ETS
     fix_script: bigBedToBed
     name: Elk1_0004
+    preference_max: ''
+    preference_min: ''
     sort_max_guess: 0.8
     type: PREDICTION
     url: http://trackhub.genome.duke.edu/gordanlab/tf-dna-binding-predictions/hg19/hg19_0004_Elk1.bb
@@ -131,6 +89,8 @@ genome_data:
     family: ETS
     fix_script: bigBedToBed
     name: Ets1_0005
+    preference_max: ''
+    preference_min: ''
     sort_max_guess: 0.8
     type: PREDICTION
     url: http://trackhub.genome.duke.edu/gordanlab/tf-dna-binding-predictions/hg19/hg19_0005_Ets1.bb
@@ -139,6 +99,8 @@ genome_data:
     family: ETS
     fix_script: bigBedToBed
     name: Gabpa_0006
+    preference_max: ''
+    preference_min: ''
     sort_max_guess: 0.6
     type: PREDICTION
     url: http://trackhub.genome.duke.edu/gordanlab/tf-dna-binding-predictions/hg19/hg19_0006_Gabpa.bb
@@ -147,25 +109,8 @@ genome_data:
     family: ETS
     fix_script: bigBedToBed
     name: Elk1_0004_vs_Ets1_0005
-    preference_bins:
-      neg:
-      - 2.92
-      - 3.29
-      - 3.7
-      - 4.15
-      - 4.65
-      - 5.25
-      - 6.05
-      - 7.33
-      pos:
-      - 3.91
-      - 5.19
-      - 6.46
-      - 7.79
-      - 9.21
-      - 10.57
-      - 11.89
-      - 13.54
+    preference_max: 25.3
+    preference_min: -17.24
     sort_max_guess: 16
     type: PREFERENCE
     url: http://trackhub.genome.duke.edu/gordanlab/tf-dna-preferences//hg19/hg19_Elk1_0004_vs_Ets1_0005.bb
@@ -174,25 +119,8 @@ genome_data:
     family: ETS
     fix_script: bigBedToBed
     name: Elk1_0004_vs_Gabpa_0006
-    preference_bins:
-      neg:
-      - 2.9
-      - 3.22
-      - 3.57
-      - 3.93
-      - 4.34
-      - 4.8
-      - 5.43
-      - 6.41
-      pos:
-      - 3.08
-      - 3.6
-      - 4.11
-      - 4.67
-      - 5.24
-      - 5.73
-      - 6.35
-      - 7.1
+    preference_max: 15.66
+    preference_min: -13.29
     sort_max_guess: 16
     type: PREFERENCE
     url: http://trackhub.genome.duke.edu/gordanlab/tf-dna-preferences//hg19/hg19_Elk1_0004_vs_Gabpa_0006.bb
@@ -201,25 +129,8 @@ genome_data:
     family: ETS
     fix_script: bigBedToBed
     name: Ets1_0005_vs_Gabpa_0006
-    preference_bins:
-      neg:
-      - 2.96
-      - 3.33
-      - 3.73
-      - 4.13
-      - 4.59
-      - 5.11
-      - 5.77
-      - 6.68
-      pos:
-      - 3.12
-      - 3.71
-      - 4.38
-      - 5.15
-      - 6.06
-      - 7.12
-      - 8.36
-      - 9.87
+    preference_max: 15.85
+    preference_min: -19.33
     sort_max_guess: 16
     type: PREFERENCE
     url: http://trackhub.genome.duke.edu/gordanlab/tf-dna-preferences//hg19/hg19_Ets1_0005_vs_Gabpa_0006.bb
@@ -228,6 +139,8 @@ genome_data:
     family: E2F
     fix_script: bigBedToBed
     name: E2f1_0007
+    preference_max: ''
+    preference_min: ''
     sort_max_guess: 0.6
     type: PREDICTION
     url: http://trackhub.genome.duke.edu/gordanlab/tf-dna-binding-predictions/hg19/hg19_0007_E2f1.bb
@@ -236,6 +149,8 @@ genome_data:
     family: E2F
     fix_script: bigBedToBed
     name: E2f3_0008
+    preference_max: ''
+    preference_min: ''
     sort_max_guess: 0.75
     type: PREDICTION
     url: http://trackhub.genome.duke.edu/gordanlab/tf-dna-binding-predictions/hg19/hg19_0008_E2f3.bb
@@ -244,6 +159,8 @@ genome_data:
     family: E2F
     fix_script: bigBedToBed
     name: E2f4_0009
+    preference_max: ''
+    preference_min: ''
     sort_max_guess: 0.65
     type: PREDICTION
     url: http://trackhub.genome.duke.edu/gordanlab/tf-dna-binding-predictions/hg19/hg19_0009_E2f4.bb
@@ -252,25 +169,8 @@ genome_data:
     family: E2F
     fix_script: bigBedToBed
     name: E2f1_0007_vs_E2f4_0009
-    preference_bins:
-      neg:
-      - 2.75
-      - 3.02
-      - 3.31
-      - 3.64
-      - 4.08
-      - 4.68
-      - 5.5
-      - 6.14
-      pos:
-      - 2.86
-      - 3.12
-      - 3.41
-      - 3.67
-      - 3.95
-      - 4.3
-      - 4.73
-      - 5.39
+    preference_max: 9.88
+    preference_min: -11.44
     sort_max_guess: 16
     type: PREFERENCE
     url: http://trackhub.genome.duke.edu/gordanlab/tf-dna-preferences//hg19/hg19_E2f1_0007_vs_E2f4_0009.bb
@@ -279,25 +179,8 @@ genome_data:
     family: E2F
     fix_script: bigBedToBed
     name: E2f1_0007_vs_E2f3_0008
-    preference_bins:
-      neg:
-      - 2.94
-      - 3.41
-      - 3.84
-      - 4.47
-      - 4.92
-      - 5.58
-      - 6.48
-      - 7.57
-      pos:
-      - 2.77
-      - 2.95
-      - 3.14
-      - 3.38
-      - 3.66
-      - 3.92
-      - 4.29
-      - 4.85
+    preference_max: 9.59
+    preference_min: -16.98
     sort_max_guess: 16
     type: PREFERENCE
     url: http://trackhub.genome.duke.edu/gordanlab/tf-dna-preferences//hg19/hg19_E2f1_0007_vs_E2f3_0008.bb
@@ -306,25 +189,8 @@ genome_data:
     family: E2F
     fix_script: bigBedToBed
     name: E2f3_0008_vs_E2f4_0009
-    preference_bins:
-      neg:
-      - 2.71
-      - 2.85
-      - 3.04
-      - 3.22
-      - 3.4
-      - 3.66
-      - 4.08
-      - 4.63
-      pos:
-      - 2.71
-      - 2.89
-      - 3.07
-      - 3.29
-      - 3.58
-      - 3.91
-      - 4.36
-      - 5.03
+    preference_max: 8.33
+    preference_min: -8.05
     sort_max_guess: 16
     type: PREFERENCE
     url: http://trackhub.genome.duke.edu/gordanlab/tf-dna-preferences//hg19/hg19_E2f3_0008_vs_E2f4_0009.bb
@@ -333,6 +199,8 @@ genome_data:
     family: RUNX
     fix_script: bigBedToBed
     name: Runx1_0010
+    preference_max: ''
+    preference_min: ''
     sort_max_guess: 0.7
     type: PREDICTION
     url: http://trackhub.genome.duke.edu/gordanlab/tf-dna-binding-predictions/hg19/hg19_0010_Runx1.bb
@@ -341,6 +209,8 @@ genome_data:
     family: RUNX
     fix_script: bigBedToBed
     name: Runx2_0011
+    preference_max: ''
+    preference_min: ''
     sort_max_guess: 0.8
     type: PREDICTION
     url: http://trackhub.genome.duke.edu/gordanlab/tf-dna-binding-predictions/hg19/hg19_0011_Runx2.bb
@@ -349,24 +219,8 @@ genome_data:
     family: RUNX
     fix_script: bigBedToBed
     name: Runx1_0010_vs_Runx2_0011
-    preference_bins:
-      neg:
-      - 2.63
-      - 2.7
-      - 2.79
-      - 2.84
-      - 2.9
-      - 3.25
-      - 3.425
-      pos:
-      - 2.6
-      - 2.63
-      - 2.66
-      - 2.7
-      - 2.74
-      - 2.8
-      - 2.84
-      - 2.97
+    preference_max: 4.36
+    preference_min: -3.6
     sort_max_guess: 16
     type: PREFERENCE
     url: http://trackhub.genome.duke.edu/gordanlab/tf-dna-preferences//hg19/hg19_Runx1_0010_vs_Runx2_0011.bb
@@ -403,6 +257,8 @@ genome_data:
     family: bHLH
     fix_script: bigBedToBed
     name: c-Myc_0001
+    preference_max: ''
+    preference_min: ''
     sort_max_guess: 0.6
     type: PREDICTION
     url: http://trackhub.genome.duke.edu/gordanlab/tf-dna-binding-predictions/hg38/hg38_0001_c-Myc.bb
@@ -411,6 +267,8 @@ genome_data:
     family: bHLH
     fix_script: bigBedToBed
     name: Mad1_0002
+    preference_max: ''
+    preference_min: ''
     sort_max_guess: 0.6
     type: PREDICTION
     url: http://trackhub.genome.duke.edu/gordanlab/tf-dna-binding-predictions/hg38/hg38_0002_Mad1.bb
@@ -419,6 +277,8 @@ genome_data:
     family: bHLH
     fix_script: bigBedToBed
     name: Max_0003
+    preference_max: ''
+    preference_min: ''
     sort_max_guess: 0.6
     type: PREDICTION
     url: http://trackhub.genome.duke.edu/gordanlab/tf-dna-binding-predictions/hg38/hg38_0003_Max.bb
@@ -427,24 +287,8 @@ genome_data:
     family: bHLH
     fix_script: bigBedToBed
     name: Mad1_0002_vs_c-Myc_0001
-    preference_bins:
-      neg:
-      - 2.92
-      - 3.27
-      - 3.64
-      - 3.84
-      - 3.91
-      - 4.64
-      - 4.66
-      pos:
-      - 2.73
-      - 2.89
-      - 3.05
-      - 3.23
-      - 3.39
-      - 3.58
-      - 3.85
-      - 4.22
+    preference_max: 6.85
+    preference_min: -12.14
     sort_max_guess: 16
     type: PREFERENCE
     url: http://trackhub.genome.duke.edu/gordanlab/tf-dna-preferences//hg38/hg38_Mad1_0002_vs_c-Myc_0001.bb
@@ -453,25 +297,8 @@ genome_data:
     family: bHLH
     fix_script: bigBedToBed
     name: Mad1_0002_vs_Max_0003
-    preference_bins:
-      neg:
-      - 2.77
-      - 2.98
-      - 3.22
-      - 3.53
-      - 4.37
-      - 5.45
-      - 5.71
-      - 6.07
-      pos:
-      - 2.64
-      - 2.74
-      - 2.86
-      - 3.01
-      - 3.21
-      - 3.32
-      - 3.46
-      - 3.63
+    preference_max: 6.28
+    preference_min: -7.43
     sort_max_guess: 16
     type: PREFERENCE
     url: http://trackhub.genome.duke.edu/gordanlab/tf-dna-preferences//hg38/hg38_Mad1_0002_vs_Max_0003.bb
@@ -480,25 +307,8 @@ genome_data:
     family: bHLH
     fix_script: bigBedToBed
     name: Max_0003_vs_c-Myc_0001
-    preference_bins:
-      neg:
-      - 2.68
-      - 2.79
-      - 2.91
-      - 3.06
-      - 3.23
-      - 3.42
-      - 3.69
-      - 4.14
-      pos:
-      - 2.73
-      - 2.88
-      - 3.01
-      - 3.19
-      - 3.39
-      - 3.63
-      - 3.95
-      - 4.43
+    preference_max: 8.59
+    preference_min: -8.24
     sort_max_guess: 16
     type: PREFERENCE
     url: http://trackhub.genome.duke.edu/gordanlab/tf-dna-preferences//hg38/hg38_Max_0003_vs_c-Myc_0001.bb
@@ -507,6 +317,8 @@ genome_data:
     family: ETS
     fix_script: bigBedToBed
     name: Elk1_0004
+    preference_max: ''
+    preference_min: ''
     sort_max_guess: 0.8
     type: PREDICTION
     url: http://trackhub.genome.duke.edu/gordanlab/tf-dna-binding-predictions/hg38/hg38_0004_Elk1.bb
@@ -515,6 +327,8 @@ genome_data:
     family: ETS
     fix_script: bigBedToBed
     name: Ets1_0005
+    preference_max: ''
+    preference_min: ''
     sort_max_guess: 0.8
     type: PREDICTION
     url: http://trackhub.genome.duke.edu/gordanlab/tf-dna-binding-predictions/hg38/hg38_0005_Ets1.bb
@@ -523,6 +337,8 @@ genome_data:
     family: ETS
     fix_script: bigBedToBed
     name: Gabpa_0006
+    preference_max: ''
+    preference_min: ''
     sort_max_guess: 0.6
     type: PREDICTION
     url: http://trackhub.genome.duke.edu/gordanlab/tf-dna-binding-predictions/hg38/hg38_0006_Gabpa.bb
@@ -531,25 +347,8 @@ genome_data:
     family: ETS
     fix_script: bigBedToBed
     name: Elk1_0004_vs_Ets1_0005
-    preference_bins:
-      neg:
-      - 2.92
-      - 3.29
-      - 3.7
-      - 4.16
-      - 4.65
-      - 5.25
-      - 6.01
-      - 7.24
-      pos:
-      - 3.9
-      - 5.18
-      - 6.44
-      - 7.76
-      - 9.17
-      - 10.53
-      - 11.86
-      - 13.51
+    preference_max: 25.3
+    preference_min: -17.24
     sort_max_guess: 16
     type: PREFERENCE
     url: http://trackhub.genome.duke.edu/gordanlab/tf-dna-preferences//hg38/hg38_Elk1_0004_vs_Ets1_0005.bb
@@ -558,25 +357,8 @@ genome_data:
     family: ETS
     fix_script: bigBedToBed
     name: Elk1_0004_vs_Gabpa_0006
-    preference_bins:
-      neg:
-      - 2.91
-      - 3.26
-      - 3.62
-      - 3.98
-      - 4.39
-      - 4.87
-      - 5.58
-      - 6.51
-      pos:
-      - 3.08
-      - 3.59
-      - 4.1
-      - 4.67
-      - 5.23
-      - 5.72
-      - 6.35
-      - 7.09
+    preference_max: 15.66
+    preference_min: -13.29
     sort_max_guess: 16
     type: PREFERENCE
     url: http://trackhub.genome.duke.edu/gordanlab/tf-dna-preferences//hg38/hg38_Elk1_0004_vs_Gabpa_0006.bb
@@ -585,25 +367,8 @@ genome_data:
     family: ETS
     fix_script: bigBedToBed
     name: Ets1_0005_vs_Gabpa_0006
-    preference_bins:
-      neg:
-      - 2.97
-      - 3.35
-      - 3.76
-      - 4.18
-      - 4.62
-      - 5.13
-      - 5.77
-      - 6.61
-      pos:
-      - 3.12
-      - 3.71
-      - 4.38
-      - 5.18
-      - 6.1
-      - 7.18
-      - 8.4
-      - 9.92
+    preference_max: 15.85
+    preference_min: -19.33
     sort_max_guess: 16
     type: PREFERENCE
     url: http://trackhub.genome.duke.edu/gordanlab/tf-dna-preferences//hg38/hg38_Ets1_0005_vs_Gabpa_0006.bb
@@ -612,6 +377,8 @@ genome_data:
     family: E2F
     fix_script: bigBedToBed
     name: E2f1_0007
+    preference_max: ''
+    preference_min: ''
     sort_max_guess: 0.6
     type: PREDICTION
     url: http://trackhub.genome.duke.edu/gordanlab/tf-dna-binding-predictions/hg38/hg38_0007_E2f1.bb
@@ -620,6 +387,8 @@ genome_data:
     family: E2F
     fix_script: bigBedToBed
     name: E2f3_0008
+    preference_max: ''
+    preference_min: ''
     sort_max_guess: 0.75
     type: PREDICTION
     url: http://trackhub.genome.duke.edu/gordanlab/tf-dna-binding-predictions/hg38/hg38_0008_E2f3.bb
@@ -628,6 +397,8 @@ genome_data:
     family: E2F
     fix_script: bigBedToBed
     name: E2f4_0009
+    preference_max: ''
+    preference_min: ''
     sort_max_guess: 0.65
     type: PREDICTION
     url: http://trackhub.genome.duke.edu/gordanlab/tf-dna-binding-predictions/hg38/hg38_0009_E2f4.bb
@@ -636,25 +407,8 @@ genome_data:
     family: E2F
     fix_script: bigBedToBed
     name: E2f1_0007_vs_E2f4_0009
-    preference_bins:
-      neg:
-      - 2.75
-      - 3.02
-      - 3.31
-      - 3.64
-      - 4.08
-      - 4.67
-      - 5.49
-      - 6.14
-      pos:
-      - 2.87
-      - 3.14
-      - 3.44
-      - 3.67
-      - 3.95
-      - 4.31
-      - 4.76
-      - 5.39
+    preference_max: 9.88
+    preference_min: -11.44
     sort_max_guess: 16
     type: PREFERENCE
     url: http://trackhub.genome.duke.edu/gordanlab/tf-dna-preferences//hg38/hg38_E2f1_0007_vs_E2f4_0009.bb
@@ -663,25 +417,8 @@ genome_data:
     family: E2F
     fix_script: bigBedToBed
     name: E2f1_0007_vs_E2f3_0008
-    preference_bins:
-      neg:
-      - 2.94
-      - 3.42
-      - 3.85
-      - 4.5
-      - 4.92
-      - 5.64
-      - 6.49
-      - 7.58
-      pos:
-      - 2.76
-      - 2.95
-      - 3.13
-      - 3.36
-      - 3.65
-      - 3.92
-      - 4.29
-      - 4.85
+    preference_max: 9.59
+    preference_min: -16.98
     sort_max_guess: 16
     type: PREFERENCE
     url: http://trackhub.genome.duke.edu/gordanlab/tf-dna-preferences//hg38/hg38_E2f1_0007_vs_E2f3_0008.bb
@@ -690,25 +427,8 @@ genome_data:
     family: E2F
     fix_script: bigBedToBed
     name: E2f3_0008_vs_E2f4_0009
-    preference_bins:
-      neg:
-      - 2.71
-      - 2.85
-      - 3.03
-      - 3.21
-      - 3.39
-      - 3.65
-      - 4.07
-      - 4.63
-      pos:
-      - 2.71
-      - 2.87
-      - 3.04
-      - 3.26
-      - 3.54
-      - 3.87
-      - 4.3
-      - 4.98
+    preference_max: 8.33
+    preference_min: -8.05
     sort_max_guess: 16
     type: PREFERENCE
     url: http://trackhub.genome.duke.edu/gordanlab/tf-dna-preferences//hg38/hg38_E2f3_0008_vs_E2f4_0009.bb
@@ -717,6 +437,8 @@ genome_data:
     family: RUNX
     fix_script: bigBedToBed
     name: Runx1_0010
+    preference_max: ''
+    preference_min: ''
     sort_max_guess: 0.7
     type: PREDICTION
     url: http://trackhub.genome.duke.edu/gordanlab/tf-dna-binding-predictions/hg38/hg38_0010_Runx1.bb
@@ -725,6 +447,8 @@ genome_data:
     family: RUNX
     fix_script: bigBedToBed
     name: Runx2_0011
+    preference_max: ''
+    preference_min: ''
     sort_max_guess: 0.8
     type: PREDICTION
     url: http://trackhub.genome.duke.edu/gordanlab/tf-dna-binding-predictions/hg38/hg38_0011_Runx2.bb
@@ -733,24 +457,8 @@ genome_data:
     family: RUNX
     fix_script: bigBedToBed
     name: Runx1_0010_vs_Runx2_0011
-    preference_bins:
-      neg:
-      - 2.63
-      - 2.7
-      - 2.79
-      - 2.84
-      - 2.9
-      - 3.25
-      - 3.425
-      pos:
-      - 2.6
-      - 2.63
-      - 2.66
-      - 2.7
-      - 2.74
-      - 2.8
-      - 2.84
-      - 2.97
+    preference_max: 4.36
+    preference_min: -3.6
     sort_max_guess: 16
     type: PREFERENCE
     url: http://trackhub.genome.duke.edu/gordanlab/tf-dna-preferences//hg38/hg38_Runx1_0010_vs_Runx2_0011.bb
diff --git a/portal/src/app/models/ColorBlender.js b/portal/src/app/models/ColorBlender.js
index bee34bc..348a0a2 100644
--- a/portal/src/app/models/ColorBlender.js
+++ b/portal/src/app/models/ColorBlender.js
@@ -15,14 +15,12 @@ COLOR_RGB[GREEN_COLOR_NAME]     = [0,   128,   0];
 COLOR_RGB[BLUE_COLOR_NAME]      = [0,     0, 255];
 
 // PREFERENCE_COLORS based on https://github.com/Duke-GCB/TrackHubGenerator/blob/master/cwl/bin/add_itemrgb_column.py
-export let PREFERENCE_GRAY = [190, 190, 190];
-// The preferred length of a preference array.
-export let PREFERRED_PREFERENCE_ARRAY_LENGTH = 9;
+let PREFERENCE_GRAY = [190, 190, 190];
 /**
  * Color constants for Red gradient
  * From Colorbrewer Red 9 http://colorbrewer2.org/?type=sequential&scheme=Reds&n=9
  */
-export let PREFERENCE_REDS = [
+let PREFERENCE_REDS = [
     [255, 245, 240],
     [254, 224, 210],
     [252, 187, 161],
@@ -35,14 +33,15 @@ export let PREFERENCE_REDS = [
 ];
 
 /*
- * Color constants for blue gradient
- * Converted to RGB from R Color names
- * plotclr2 = c("midnightblue","steelblue4","steelblue","steelblue3","steelblue2","steelblue1")
- * using chart at http://research.stowers-institute.org/efg/R/Color/Chart/ColorChart.pdf
- * midnightblue is the darkest, should be associated with the highest value,
- * and therefore be last.
- */
-export let PREFERENCE_BLUES = [
+# Color constants for blue gradient
+# Converted to RGB from R Color names
+# plotclr2 = c("midnightblue","steelblue4","steelblue","steelblue3","steelblue2","steelblue1")
+# using chart at http://research.stowers-institute.org/efg/R/Color/Chart/ColorChart.pdf
+
+# midnightblue is the darkest, should be associated with the highest value,
+# and therefore be last.
+*/
+let PREFERENCE_BLUES = [
     [99, 184, 255],   // steelblue1
     [92, 172, 238],   // steelblue2
     [79, 148, 205],   // steelblue3
@@ -55,7 +54,7 @@ export let PREFERENCE_BLUES = [
  * Color constants for green gradient
  * http://colorbrewer2.org/?type=sequential&scheme=Reds&n=9#type=sequential&scheme=Greens&n=9
  */
-export let PREFERENCE_GREENS = [
+let PREFERENCE_GREENS = [
     [247,252,245],
     [229,245,224],
     [199,233,192],
@@ -91,67 +90,21 @@ export default class ColorBlender {
         }
     }
 
-    /**
-     * Using this.value and the preferenceBin array determine which color slot we should show.
-     * @returns {number} integer 0 -> bins.length
-     */
-    getPreferenceSlot() {
-        let bins = this.getPreferenceBin();
-        let slot = 0; // if greater than all bins must be the last slot
-        let absValue = Math.abs(this.value);
-        for (let i = 0; i < bins.length; i++) {
-            let binValue = Math.abs(bins[i]);
-            if (binValue > absValue) {
-                break;
-            }
-            slot = i + 1;
-        }
-        return slot;
-    }
-
-    /**
-     * Return array of inner fenceposts used to determine which slot in color arrays we should use.
-     * If you have three colors ...-1, 1-10, 10-... it returns an array like so: [1, 10]
-     * Anything below the lowest number is assumed to be the first bin anything greater than the
-     * last fencepost is assumed to be the last bin.
-     * @returns array of inner fencepost cutoff values
-     */
-    getPreferenceBin() {
+    getScaledValue() {
         if (this.isNegative()) {
-            return this.predictionColor.preferenceBins.neg;
+            return ColorBlender.scaleValue(this.value, this.predictionColor.preferenceMin);
         } else {
-            return this.predictionColor.preferenceBins.pos;
+            return ColorBlender.scaleValue(this.value, this.predictionColor.preferenceMax);
         }
     }
 
-    /**
-     * Return array of r,g,b values for this.value.
-     * @param colorName determines which color array to use eg: 'red'
-     * @returns array of r g b
-     */
-    getPreferenceColorArray(colorName) {
-        let slot = this.getPreferenceSlot();
-        let colorArray = PREF_ARRAY_LOOKUP[colorName];
-        if (colorArray.length != PREFERRED_PREFERENCE_ARRAY_LENGTH) {
-            slot = this.scalePreferenceSlot(slot, colorArray.length);
+    static scaleValue(value, limitValue) {
+        if (limitValue) {
+            return value / Math.abs(limitValue);
         }
-        return colorArray[slot];
+        return value;
     }
 
-    /**
-     * Return array of r,g,b values for this.value.
-     * @param colorName determines which color array to use eg: 'red'
-     * @returns array of r g b
-     */
-    scalePreferenceSlot(slot, arrayLength) {
-        let scaleFactor = parseFloat(arrayLength) / parseFloat(PREFERRED_PREFERENCE_ARRAY_LENGTH);
-        let scaledSlot = slot * scaleFactor;
-        return Math.round(scaledSlot);
-    }
-
-    /**
-     * Return CSS color string appropriate for this.value and color settings.
-     */
     getColor() {
         let colorName = this.determineColorName();
         if (this.isPreference) {
@@ -159,31 +112,30 @@ export default class ColorBlender {
         }
         let colorRGB = COLOR_RGB[colorName];
         let zeroColor = [255, 255, 255];
-        let colorValues = ColorBlender.interpolateRGB(zeroColor, colorRGB, this.value);
+        let colorValues = ColorBlender.interpolateRGB(zeroColor, colorRGB, this.getScaledValue());
         return this.getRGBString(colorValues);
     }
 
-    /**
-     * Returns an array of color values based on colorPreference.color1/2 and this.value being postitive or neg.
-     * @returns array of colors(array)
-     */
     getPreferenceArray() {
         let colorName = this.determineColorName();
         return PREF_ARRAY_LOOKUP[colorName];
     }
 
-    /**
-     * Returns CSS color "rgb(r,g,b)" for this.value.
-     * Looks up which array to use based on colorName.
-     * Determines which slot in the array to use based on preferenceBins.
-     * @param colorName name of the color array to use eg: 'red'
-     * @returns CSS color string
-     */
     getPreferenceColor(colorName) {
-        let value = this.value;
+        let value = this.getScaledValue();
         let colorRGB = PREFERENCE_GRAY;
         if (value > POS_FLOAT_CUTOOFF || value < NEG_FLOAT_CUTOOFF) {
-            colorRGB = this.getPreferenceColorArray(colorName);
+            let gradientArray = this.getPreferenceArray();
+            let slots = ColorBlender.determineSlots(value, gradientArray.length);
+            colorRGB = gradientArray[slots[0]];
+            if (slots[0] != slots[1]) {
+                let zeroColor = gradientArray[slots[0]];
+                let oneColor = gradientArray[slots[1]];
+                //need to scale value for the two slots
+                let slotScaledValue = ColorBlender.scaleValueForSlot(slots[0], gradientArray.length, value);
+                let blendedColor = ColorBlender.interpolateRGB(zeroColor, oneColor, slotScaledValue);
+                return this.getRGBString(blendedColor);
+            }
         }
         return this.getRGBString({
             'r': colorRGB[0],
diff --git a/portal/src/app/models/GenomeData.js b/portal/src/app/models/GenomeData.js
index cd44192..98da0aa 100644
--- a/portal/src/app/models/GenomeData.js
+++ b/portal/src/app/models/GenomeData.js
@@ -20,7 +20,8 @@ export function getPreferenceSettings(genomeData, genomeName, modelName) {
             if (modelObj.data_type == PREFERENCE_TYPE) {
                 return {
                     isPreference: true,
-                    preferenceBins: modelObj.preference_bins,
+                    preferenceMin: modelObj.preference_min,
+                    preferenceMax: modelObj.preference_max,
                 }
             }
         }
diff --git a/portal/src/tests/testColorBlender.js b/portal/src/tests/testColorBlender.js
index 771f4d7..a8d37ed 100644
--- a/portal/src/tests/testColorBlender.js
+++ b/portal/src/tests/testColorBlender.js
@@ -1,12 +1,7 @@
 import ColorBlender, {RED_COLOR_NAME, GREEN_COLOR_NAME, BLUE_COLOR_NAME,  YELLOW_COLOR_NAME,
-        CYAN_COLOR_NAME, MAGENTA_COLOR_NAME,
-        PREFERENCE_GRAY, PREFERENCE_REDS, PREFERENCE_BLUES, PREFERENCE_GREENS} from './../app/models/ColorBlender.js';
+    CYAN_COLOR_NAME, MAGENTA_COLOR_NAME} from './../app/models/ColorBlender.js';
 var assert = require('chai').assert;
 
-function rgbFromArray(items) {
-    return 'rgb(' + items[0] + ',' + items[1] + ',' + items[2] + ')';
-}
-
 describe('ColorBlender', function () {
     describe('isNegative()', function () {
         it('true for values < 0', function () {
@@ -31,103 +26,22 @@ describe('ColorBlender', function () {
         });
     });
 
-    describe('getPreferenceSlot()', function () {
-        it('works with two bins', function () {
-            let predictionColor = {
-                'preferenceBins': {
-                    'pos': [2],
-                    'neg': [4]
-                }
-            };
-            assert.equal(0, new ColorBlender(1.0, predictionColor).getPreferenceSlot());
-            assert.equal(0, new ColorBlender(1.99, predictionColor).getPreferenceSlot());
-            assert.equal(1, new ColorBlender(2.0, predictionColor).getPreferenceSlot());
-            assert.equal(1, new ColorBlender(3.0, predictionColor).getPreferenceSlot());
-            assert.equal(1, new ColorBlender(200.0, predictionColor).getPreferenceSlot());
-            assert.equal(0, new ColorBlender(-1.0, predictionColor).getPreferenceSlot());
-            assert.equal(0, new ColorBlender(-3.99, predictionColor).getPreferenceSlot());
-            assert.equal(1, new ColorBlender(-4, predictionColor).getPreferenceSlot());
-            assert.equal(1, new ColorBlender(-4.1, predictionColor).getPreferenceSlot());
-            assert.equal(1, new ColorBlender(-4000.0, predictionColor).getPreferenceSlot());
-        });
-        it('works with three bins', function () {
-            let predictionColor = {
-                'preferenceBins': {
-                    'pos': [1,8],
-                    'neg': [2,6]
-                }
-            };
-            assert.equal(0, new ColorBlender(0.1, predictionColor).getPreferenceSlot());
-            assert.equal(1, new ColorBlender(1.0, predictionColor).getPreferenceSlot());
-            assert.equal(1, new ColorBlender(1.1, predictionColor).getPreferenceSlot());
-            assert.equal(1, new ColorBlender(7.9, predictionColor).getPreferenceSlot());
-            assert.equal(2, new ColorBlender(8.0, predictionColor).getPreferenceSlot());
-            assert.equal(2, new ColorBlender(8.1, predictionColor).getPreferenceSlot());
-            assert.equal(2, new ColorBlender(100, predictionColor).getPreferenceSlot());
-
-            assert.equal(0, new ColorBlender(-0.1, predictionColor).getPreferenceSlot());
-            assert.equal(0, new ColorBlender(-1.9, predictionColor).getPreferenceSlot());
-            assert.equal(1, new ColorBlender(-2.0, predictionColor).getPreferenceSlot());
-            assert.equal(1, new ColorBlender(-2.1, predictionColor).getPreferenceSlot());
-            assert.equal(1, new ColorBlender(-5.9, predictionColor).getPreferenceSlot());
-            assert.equal(2, new ColorBlender(-6.0, predictionColor).getPreferenceSlot());
-            assert.equal(2, new ColorBlender(-6.1, predictionColor).getPreferenceSlot());
-            assert.equal(2, new ColorBlender(-100.0, predictionColor).getPreferenceSlot());
-        });
-        it('works with four bins', function () {
-            let predictionColor = {
-                'preferenceBins': {
-                    'pos': [1, 8, 10],
-                    'neg': [2, 6, 20]
-                }
-            };
-            assert.equal(0, new ColorBlender(0.1, predictionColor).getPreferenceSlot());
-            assert.equal(1, new ColorBlender(1.0, predictionColor).getPreferenceSlot());
-            assert.equal(1, new ColorBlender(1.1, predictionColor).getPreferenceSlot());
-            assert.equal(1, new ColorBlender(7.9, predictionColor).getPreferenceSlot());
-            assert.equal(2, new ColorBlender(8.0, predictionColor).getPreferenceSlot());
-            assert.equal(2, new ColorBlender(8.1, predictionColor).getPreferenceSlot());
-            assert.equal(3, new ColorBlender(10, predictionColor).getPreferenceSlot());
-            assert.equal(3, new ColorBlender(11, predictionColor).getPreferenceSlot());
-
-            assert.equal(0, new ColorBlender(-0.1, predictionColor).getPreferenceSlot());
-            assert.equal(0, new ColorBlender(-1.9, predictionColor).getPreferenceSlot());
-            assert.equal(1, new ColorBlender(-2.0, predictionColor).getPreferenceSlot());
-            assert.equal(1, new ColorBlender(-2.1, predictionColor).getPreferenceSlot());
-            assert.equal(1, new ColorBlender(-5.9, predictionColor).getPreferenceSlot());
-            assert.equal(2, new ColorBlender(-6.0, predictionColor).getPreferenceSlot());
-            assert.equal(2, new ColorBlender(-6.1, predictionColor).getPreferenceSlot());
-            assert.equal(2, new ColorBlender(-19.9, predictionColor).getPreferenceSlot());
-            assert.equal(3, new ColorBlender(-20.0, predictionColor).getPreferenceSlot());
-            assert.equal(3, new ColorBlender(-30.0, predictionColor).getPreferenceSlot());
+    describe('getScaledValue()', function () {
+        it('just returns value when no preferenceMin or preferenceMax', function () {
+            let predictionColor = {};
+            assert.equal(10, new ColorBlender(10, predictionColor).getScaledValue());
+            assert.equal(-10, new ColorBlender(-10, predictionColor).getScaledValue());
         });
-    });
-
-    describe('getPreferenceColorArray()', function () {
-        it('looks up red colors', function () {
+        it('just scales value with abs preferenceMin/preferenceMax based on negative/positive values', function () {
             let predictionColor = {
-                'preferenceBins': {
-                    'pos': [1, 8, 10],
-                    'neg': [2, 6, 20]
-                }
+                preferenceMax: 2,
+                preferenceMin: -5,
             };
-            let color = RED_COLOR_NAME;
-            let colorArray = PREFERENCE_REDS;
-            assert.equal(colorArray[0], new ColorBlender(0, predictionColor).getPreferenceColorArray(color));
-            assert.equal(colorArray[1], new ColorBlender(1.1, predictionColor).getPreferenceColorArray(color));
-            assert.equal(colorArray[1], new ColorBlender(7, predictionColor).getPreferenceColorArray(color));
-            assert.equal(colorArray[2], new ColorBlender(8, predictionColor).getPreferenceColorArray(color));
-            assert.equal(colorArray[3], new ColorBlender(11, predictionColor).getPreferenceColorArray(color));
-            assert.equal(colorArray[0], new ColorBlender(-0.1, predictionColor).getPreferenceColorArray(color));
-            assert.equal(colorArray[0], new ColorBlender(-1.9, predictionColor).getPreferenceColorArray(color));
-            assert.equal(colorArray[1], new ColorBlender(-2, predictionColor).getPreferenceColorArray(color));
-            assert.equal(colorArray[2], new ColorBlender(-6, predictionColor).getPreferenceColorArray(color));
-            assert.equal(colorArray[3], new ColorBlender(-20, predictionColor).getPreferenceColorArray(color));
-
+            assert.equal(5, new ColorBlender(10, predictionColor).getScaledValue());
+            assert.equal(-2, new ColorBlender(-10, predictionColor).getScaledValue());
         });
     });
 
-
     describe('getColor()', function () {
         it('works for red and blue combination for prediction data', function () {
             let predictionColor = {
@@ -143,41 +57,19 @@ describe('ColorBlender', function () {
             assert.equal('rgb(128,128,255)', new ColorBlender(-0.5, predictionColor, false).getColor());
         });
 
-
         it('works for red and blue combination for preference data', function () {
             let predictionColor = {
                 color1: RED_COLOR_NAME,
                 color2: BLUE_COLOR_NAME,
-                'preferenceBins': {
-                    'pos': [1, 8, 10],
-                    'neg': [2, 6, 20]
-                }
             };
-            let expectedColor = rgbFromArray(PREFERENCE_GRAY);
-            assert.equal(expectedColor, new ColorBlender(0, predictionColor, true).getColor());
+            let deepRed = 'rgb(103,0,13)';
+            assert.equal(deepRed, new ColorBlender(1.0, predictionColor, true).getColor());
 
-            expectedColor = rgbFromArray(PREFERENCE_REDS[0]);
-            assert.equal(expectedColor, new ColorBlender(0.1, predictionColor, true).getColor());
-            expectedColor = rgbFromArray(PREFERENCE_REDS[0]);
-            assert.equal(expectedColor, new ColorBlender(0.9, predictionColor, true).getColor());
-            expectedColor = rgbFromArray(PREFERENCE_REDS[1]);
-            assert.equal(expectedColor, new ColorBlender(1.0, predictionColor, true).getColor());
-            expectedColor = rgbFromArray(PREFERENCE_REDS[2]);
-            assert.equal(expectedColor, new ColorBlender(8.0, predictionColor, true).getColor());
-            expectedColor = rgbFromArray(PREFERENCE_REDS[3]);
-            assert.equal(expectedColor, new ColorBlender(11.0, predictionColor, true).getColor());
+            let zeroGray = 'rgb(190,190,190)';
+            assert.equal(zeroGray, new ColorBlender(0.0, predictionColor, true).getColor());
 
-            // blues have only 5 items in the color array so slot index will be scaled by PREFERRED_PREFERENCE_ARRAY_LENGTH
-            expectedColor = rgbFromArray(PREFERENCE_BLUES[0]);
-            assert.equal(expectedColor, new ColorBlender(-0.1, predictionColor, true).getColor());
-            expectedColor = rgbFromArray(PREFERENCE_BLUES[1]);
-            assert.equal(expectedColor, new ColorBlender(-2.1, predictionColor, true).getColor());
-            expectedColor = rgbFromArray(PREFERENCE_BLUES[1]);
-            assert.equal(expectedColor, new ColorBlender(-6.0, predictionColor, true).getColor());
-            expectedColor = rgbFromArray(PREFERENCE_BLUES[2]);
-            assert.equal(expectedColor, new ColorBlender(-20.0, predictionColor, true).getColor());
-            expectedColor = rgbFromArray(PREFERENCE_BLUES[2]);
-            assert.equal(expectedColor, new ColorBlender(-40.0, predictionColor, true).getColor());
+            let midnightBlue = 'rgb(25,25,112)';
+            assert.equal(midnightBlue, new ColorBlender(-1.0, predictionColor, true).getColor());
         });
     });
 
diff --git a/pred/config.py b/pred/config.py
index 8037dfc..33cea87 100644
--- a/pred/config.py
+++ b/pred/config.py
@@ -154,12 +154,13 @@ def _load_prediction_lists(self, prediction_data_ary):
             fix_script = prediction_data['fix_script']
             sort_max_guess = prediction_data['sort_max_guess']
             type = prediction_data.get('type', 'PREDICTION')
-            preference_bins = prediction_data.get('preference_bins', None)
+            preference_min = prediction_data.get('preference_min', None)
+            preference_max = prediction_data.get('preference_max', None)
             core_offset = prediction_data.get('core_offset', None)
             core_length = prediction_data.get('core_length', None)
             family = prediction_data.get('family', None)
             prediction = PredictionSettings(name, url, self.genomename, fix_script, sort_max_guess, type,
-                                            preference_bins, core_offset, core_length, family)
+                                            preference_min, preference_max, core_offset, core_length, family)
             self.prediction_lists.append(prediction)
 
     def get_model_types_str(self):
@@ -178,7 +179,7 @@ def __init__(self, genome, name, source_table, common_name, common_lookup_table=
 
 
 class PredictionSettings(object):
-    def __init__(self, name, url, genome, fix_script, sort_max_guess, data_type, preference_bins,
+    def __init__(self, name, url, genome, fix_script, sort_max_guess, data_type, preference_min, preference_max,
                  core_offset, core_length, family):
         self.name = name
         self.url = url
@@ -186,7 +187,8 @@ def __init__(self, name, url, genome, fix_script, sort_max_guess, data_type, pre
         self.fix_script = fix_script
         self.sort_max_guess = sort_max_guess
         self.data_type = data_type
-        self.preference_bins = preference_bins
+        self.preference_min = preference_min
+        self.preference_max = preference_max
         self.core_offset = core_offset
         self.core_length = core_length
         self.family = family
@@ -199,7 +201,8 @@ def get_data(self):
         return {
             'name': self.name,
             'data_type': self.data_type,
-            'preference_bins': self.preference_bins,
+            'preference_min': self.preference_min,
+            'preference_max': self.preference_max,
             'core_offset': self.core_offset,
             'core_length': self.core_length,
             'family': self.family
diff --git a/pred/queries/predictionqueryparts.py b/pred/queries/predictionqueryparts.py
index 7604f06..ca20fc8 100644
--- a/pred/queries/predictionqueryparts.py
+++ b/pred/queries/predictionqueryparts.py
@@ -1,6 +1,9 @@
 from pred.queries.querybuilder import QueryPart
 
 
+RANGE_OPERATOR = '@>' # contains range - excludes predictions not completely inside gene TSS range
+
+
 def _query_part(sql):
     return QueryPart(sql, [])
 
@@ -26,11 +29,11 @@ def custom_range_list_query(list_id, model_name):
 from custom_range_list
 left outer join prediction
 on prediction.chrom = custom_range_list.chrom
-and custom_range_list.range && prediction.range
+and custom_range_list.range {} prediction.range
 and model_name = %s
 where
 custom_range_list.id = %s
-group by seq""", [model_name, list_id])
+group by seq""".format(RANGE_OPERATOR), [model_name, list_id])
 
 
 def select_prediction_values(table_name="gene_prediction", first_field="common_name"):
@@ -80,10 +83,10 @@ def filter_gene_list(gene_list, model_name, upstream, downstream):
     return QueryPart(beginning_sql + """model_name = %s
 and
 case strand when '+' then
-  (gene_begin + %s) >= start_range and end_range >= (gene_begin - %s)
+  int4range(gene_begin - %s, gene_begin + %s) {} int4range(start_range, end_range)
 else
-  (gene_begin + %s) >= start_range and end_range >= (gene_begin - %s)
-end""", params)
+  int4range(gene_begin - %s, gene_begin + %s) {} int4range(start_range, end_range)
+end""".format(RANGE_OPERATOR, RANGE_OPERATOR), params)
 
 
 def items_not_in_gene_list(list_id, gene_list_filter, custom_gene_name_type):
diff --git a/tests/test_genelistquery.py b/tests/test_genelistquery.py
index 2fa3eab..c240c3a 100644
--- a/tests/test_genelistquery.py
+++ b/tests/test_genelistquery.py
@@ -22,9 +22,9 @@
 model_name = %s
 and
 case strand when '+' then
-  (gene_begin + %s) >= start_range and end_range >= (gene_begin - %s)
+  int4range(gene_begin - %s, gene_begin + %s) @> int4range(start_range, end_range)
 else
-  (gene_begin + %s) >= start_range and end_range >= (gene_begin - %s)
+  int4range(gene_begin - %s, gene_begin + %s) @> int4range(start_range, end_range)
 end
 where
 id = %s
@@ -55,9 +55,9 @@
 model_name = %s
 and
 case strand when '+' then
-  (gene_begin + %s) >= start_range and end_range >= (gene_begin - %s)
+  int4range(gene_begin - %s, gene_begin + %s) @> int4range(start_range, end_range)
 else
-  (gene_begin + %s) >= start_range and end_range >= (gene_begin - %s)
+  int4range(gene_begin - %s, gene_begin + %s) @> int4range(start_range, end_range)
 end
 where
 id = %s
diff --git a/tests/test_integration.py b/tests/test_integration.py
index 98f3a97..7ed3c1b 100644
--- a/tests/test_integration.py
+++ b/tests/test_integration.py
@@ -215,7 +215,6 @@ def test_prediction_query(self):
         self.assertEqual(len(values), 3)
         pred_value_set = set([v['value'] for v in values])
         self.assertIn(0.4, pred_value_set)
-        self.assertIn(0.3, pred_value_set)
         self.assertIn(0.1, pred_value_set)
 
     def test_prediction_max_sort_query(self):
@@ -238,7 +237,6 @@ def test_prediction_max_sort_query(self):
         self.assertEqual(len(values), 3)
         pred_value_set = set([v['value'] for v in values])
         self.assertIn(0.4, pred_value_set)
-        self.assertIn(0.3, pred_value_set)
         self.assertIn(0.1, pred_value_set)
 
     def test_custom_gene_list_no_results(self):
@@ -315,7 +313,7 @@ def test_custom_gene_list_with_lc_results(self):
 
     def test_custom_range_list(self):
         db = create_db_connection(TestWithPostgres.config.dbconfig)
-        custom_list_key = save_custom_file(db, 'john', RANGE_TYPE, "chr1 11873 11883")
+        custom_list_key = save_custom_file(db, 'john', RANGE_TYPE, "chr1 11873 11895")
         params = {
             SearchArgs.GENE_LIST: CUSTOM_RANGES_LIST,
             SearchArgs.CUSTOM_LIST_DATA: custom_list_key,
@@ -348,7 +346,7 @@ def test_custom_range_list_bad_range(self):
 
     def test_custom_range_list_no_chr(self):
         db = create_db_connection(TestWithPostgres.config.dbconfig)
-        custom_list_key = save_custom_file(db, 'john', RANGE_TYPE, "1 11873 11883")
+        custom_list_key = save_custom_file(db, 'john', RANGE_TYPE, "1 11873 11895")
         params = {
             SearchArgs.GENE_LIST: CUSTOM_RANGES_LIST,
             SearchArgs.CUSTOM_LIST_DATA: custom_list_key,
diff --git a/tests/test_maxpredictionquery.py b/tests/test_maxpredictionquery.py
index 8c5c873..412483b 100644
--- a/tests/test_maxpredictionquery.py
+++ b/tests/test_maxpredictionquery.py
@@ -10,9 +10,9 @@
 model_name = %s
 and
 case strand when '+' then
-  (gene_begin + %s) >= start_range and end_range >= (gene_begin - %s)
+  int4range(gene_begin - %s, gene_begin + %s) @> int4range(start_range, end_range)
 else
-  (gene_begin + %s) >= start_range and end_range >= (gene_begin - %s)
+  int4range(gene_begin - %s, gene_begin + %s) @> int4range(start_range, end_range)
 end{}
 group by gene_id
 order by max(abs(value)) desc{}
@@ -36,9 +36,9 @@
 model_name = %s
 and
 case strand when '+' then
-  (gene_begin + %s) >= start_range and end_range >= (gene_begin - %s)
+  int4range(gene_begin - %s, gene_begin + %s) @> int4range(start_range, end_range)
 else
-  (gene_begin + %s) >= start_range and end_range >= (gene_begin - %s)
+  int4range(gene_begin - %s, gene_begin + %s) @> int4range(start_range, end_range)
 end
 and gene_id in (select gene_id from max_prediction_names)
 group by gene_id
@@ -58,9 +58,9 @@
 model_name = %s
 and
 case strand when '+' then
-  (gene_begin + %s) >= start_range and end_range >= (gene_begin - %s)
+  int4range(gene_begin - %s, gene_begin + %s) @> int4range(start_range, end_range)
 else
-  (gene_begin + %s) >= start_range and end_range >= (gene_begin - %s)
+  int4range(gene_begin - %s, gene_begin + %s) @> int4range(start_range, end_range)
 end
 group by gene_id
 order by max(abs(value)) desc
@@ -85,9 +85,9 @@
 model_name = %s
 and
 case strand when '+' then
-  (gene_begin + %s) >= start_range and end_range >= (gene_begin - %s)
+  int4range(gene_begin - %s, gene_begin + %s) @> int4range(start_range, end_range)
 else
-  (gene_begin + %s) >= start_range and end_range >= (gene_begin - %s)
+  int4range(gene_begin - %s, gene_begin + %s) @> int4range(start_range, end_range)
 end
 and gene_id in (select gene_id from max_prediction_names)
 group by gene_id
diff --git a/tests/test_predictionquery.py b/tests/test_predictionquery.py
index 48505a9..a207664 100644
--- a/tests/test_predictionquery.py
+++ b/tests/test_predictionquery.py
@@ -21,9 +21,9 @@
 model_name = %s
 and
 case strand when '+' then
-  (gene_begin + %s) >= start_range and end_range >= (gene_begin - %s)
+  int4range(gene_begin - %s, gene_begin + %s) @> int4range(start_range, end_range)
 else
-  (gene_begin + %s) >= start_range and end_range >= (gene_begin - %s)
+  int4range(gene_begin - %s, gene_begin + %s) @> int4range(start_range, end_range)
 end
 group by gene_id
 order by gene_id{}"""
@@ -52,9 +52,9 @@
 model_name = %s
 and
 case strand when '+' then
-  (gene_begin + %s) >= start_range and end_range >= (gene_begin - %s)
+  int4range(gene_begin - %s, gene_begin + %s) @> int4range(start_range, end_range)
 else
-  (gene_begin + %s) >= start_range and end_range >= (gene_begin - %s)
+  int4range(gene_begin - %s, gene_begin + %s) @> int4range(start_range, end_range)
 end
 group by gene_id
 ) as foo"""
diff --git a/tests/test_rangelistquery.py b/tests/test_rangelistquery.py
index 95d008f..569ec44 100644
--- a/tests/test_rangelistquery.py
+++ b/tests/test_rangelistquery.py
@@ -18,7 +18,7 @@
 from custom_range_list
 left outer join prediction
 on prediction.chrom = custom_range_list.chrom
-and custom_range_list.range && prediction.range
+and custom_range_list.range @> prediction.range
 and model_name = %s
 where
 custom_range_list.id = %s
@@ -45,7 +45,7 @@
 from custom_range_list
 left outer join prediction
 on prediction.chrom = custom_range_list.chrom
-and custom_range_list.range && prediction.range
+and custom_range_list.range @> prediction.range
 and model_name = %s
 where
 custom_range_list.id = %s
diff --git a/util/create_conf.py b/util/create_conf.py
index cf1e3a7..b7116de 100644
--- a/util/create_conf.py
+++ b/util/create_conf.py
@@ -41,29 +41,15 @@ def items(self, *args, **kwargs):
 SORT_MAX_GUESS = yaml_config['SORT_MAX_GUESS']
 MODEL_BASE_URL = yaml_config['MODEL_BASE_URL']
 MODEL_FAMILY_ORDER = yaml_config['MODEL_FAMILY_ORDER']
-PREFERENCE_BINS = {}
-for item in yaml_config['PREFERENCE_BINS']:
+PREF_MIN_MAX = {}
+for item in yaml_config['PREF_MIN_MAX']:
     genome = item['genome']
-    name = item['name']
-    preference_bins = item['preference_bins']
-    PREFERENCE_BINS[(genome, name)] = preference_bins
-
-
-def fix_pref_bins(bins):
-    for bin_name in ['neg','pos']:
-        bins[bin_name] = fix_bin(bins[bin_name])
-    return bins
-
-
-def fix_bin(bin):
-    """
-    Remove outer indexes make sure values are positive and sorted.
-    :param bin: list of values
-    :return: [float] fixed array of bin values
-    """
-    inner_items = bin[1:len(bin)-1]
-    return sorted([abs(x) for x in inner_items])
+    name = item['name'] #re.sub('_\d\d\d\d', '', item['name'])
+    pref_min = item['pref_min']
+    pref_max = item['pref_max']
+    PREF_MIN_MAX[(genome, name)] = (pref_min, pref_max)
 
+print(PREF_MIN_MAX)
 
 def create_config_file(trackhub_data, output_filename):
     """
@@ -81,7 +67,8 @@ def create_config_file(trackhub_data, output_filename):
         pred_idx = 1
         for track, url, type, tracks_yaml in trackhub_data.get_track_data(genome, track_filename):
             sort_max_guess = SORT_MAX_GUESS.get(track, SORT_MAX_GUESS_DEFAULT)
-            preference_bins = PREFERENCE_BINS.get((genome, track), None)
+            pref_min, pref_max = PREF_MIN_MAX.get((genome, track), ('',''))
+            print(pref_min, pref_max, genome, track)
             prediction_data = {
                 'idx': pred_idx,
                 'name': track,
@@ -92,9 +79,9 @@ def create_config_file(trackhub_data, output_filename):
                 'core_offset': tracks_yaml.get_core_offset(track),
                 'core_length': tracks_yaml.get_core_length(track),
                 'family': tracks_yaml.get_family(track, type),
+                'preference_min': pref_min,
+                'preference_max': pref_max,
             }
-            if preference_bins:
-                prediction_data['preference_bins'] = fix_pref_bins(preference_bins)
             pred_idx += 1
             prediction_lists.append(prediction_data)
         prediction_lists = sorted(prediction_lists, key=prediction_sort_key)
diff --git a/util/create_conf.yaml b/util/create_conf.yaml
index e609a14..911505a 100644
--- a/util/create_conf.yaml
+++ b/util/create_conf.yaml
@@ -31,119 +31,102 @@ SORT_MAX_GUESS:
   'E2f4_0009': 0.65
   'Runx1_0010': 0.7
   'Runx2_0011': 0.8
-  'E2f1_0007_vs_E2f3_0008': 16
-  'E2f1_0007_vs_E2f4_0009': 16
-  'E2f3_0008_vs_E2f4_0009': 16
-  'Elk1_0004_vs_Ets1_0005': 16
-  'Elk1_0004_vs_Gabpa_0006': 16
-  'Ets1_0005_vs_Gabpa_0006': 16
-  'Mad1_0002_vs_Max_0003': 16
-  'Mad1_0002_vs_c-Myc_0001': 16
-  'Max_0003_vs_c-Myc_0001': 16
-  'Runx1_0010_vs_Runx2_0011': 16
+  'E2f1_0007_vs_E2f3_0008' : 16
+  'E2f1_0007_vs_E2f4_0009' : 16
+  'E2f3_0008_vs_E2f4_0009' : 16
+  'Elk1_0004_vs_Ets1_0005' : 16
+  'Elk1_0004_vs_Gabpa_0006' : 16
+  'Ets1_0005_vs_Gabpa_0006' : 16
+  'Mad1_0002_vs_Max_0003' : 16
+  'Mad1_0002_vs_c-Myc_0001' : 16
+  'Max_0003_vs_c-Myc_0001' : 16
+  'Runx1_0010_vs_Runx2_0011' : 16
 
-# Determines color shown for preference value in heatmap
-PREFERENCE_BINS:
+PREF_MIN_MAX:
 - genome: hg19
   name: E2f1_0007_vs_E2f3_0008
-  preference_bins:
-    neg: [-16.98, -7.57, -6.48, -5.58, -4.92, -4.47, -3.84, -3.41, -2.94, -2.58]
-    pos: [2.58, 2.77, 2.95, 3.14, 3.38, 3.66, 3.92, 4.29, 4.85, 9.59]
+  pref_min: -16.98
+  pref_max: 9.59
 - genome: hg19
   name: E2f1_0007_vs_E2f4_0009
-  preference_bins:
-    neg: [-11.44, -6.14, -5.5, -4.68, -4.08, -3.64, -3.31, -3.02, -2.75, -2.58]
-    pos: [2.58, 2.86, 3.12, 3.41, 3.67, 3.95, 4.3, 4.73, 5.39, 9.88]
+  pref_min: -11.44
+  pref_max: 9.88
 - genome: hg19
   name: E2f3_0008_vs_E2f4_0009
-  preference_bins:
-    neg: [-8.05, -4.63, -4.08, -3.66, -3.4, -3.22, -3.04, -2.85, -2.71, -2.58]
-    pos: [2.58, 2.71, 2.89, 3.07, 3.29, 3.58, 3.91, 4.36, 5.03, 8.33]
+  pref_min: -8.05
+  pref_max: 8.33
 - genome: hg19
   name: Elk1_0004_vs_Ets1_0005
-  preference_bins:
-    neg: [-17.24, -7.33, -6.05, -5.25, -4.65, -4.15, -3.7, -3.29, -2.92, -2.58]
-    pos: [2.58, 3.91, 5.19, 6.46, 7.79, 9.21, 10.57, 11.89, 13.54, 25.3]
+  pref_min: -17.24
+  pref_max: 25.3
 - genome: hg19
   name: Elk1_0004_vs_Gabpa_0006
-  preference_bins:
-    neg: [-13.29, -6.41, -5.43, -4.8, -4.34, -3.93, -3.57, -3.22, -2.9, -2.58]
-    pos: [2.58, 3.08, 3.6, 4.11, 4.67, 5.24, 5.73, 6.35, 7.1, 15.66]
+  pref_min: -13.29
+  pref_max: 15.66
 - genome: hg19
   name: Ets1_0005_vs_Gabpa_0006
-  preference_bins:
-    neg: [-19.33, -6.68, -5.77, -5.11, -4.59, -4.13, -3.73, -3.33, -2.96, -2.58]
-    pos: [2.58, 3.12, 3.71, 4.38, 5.15, 6.06, 7.12, 8.36, 9.87, 15.85]
-- genome: hg19
-  name: Mad1_0002_vs_c-Myc_0001
-  preference_bins:
-    neg: [-12.14, -4.66, -4.64, -3.91, -3.84, -3.64, -3.27, -2.92, -2.58]
-    pos: [2.58, 2.73, 2.89, 3.05, 3.23, 3.39, 3.58, 3.84, 4.22, 6.85]
+  pref_min: -19.33
+  pref_max: 15.85
 - genome: hg19
   name: Mad1_0002_vs_Max_0003
-  preference_bins:
-    neg: [-7.43, -6.07, -5.71, -5.45, -4.37, -3.54, -3.22, -2.98, -2.77, -2.58]
-    pos: [2.58, 2.64, 2.74, 2.86, 3.0, 3.19, 3.3, 3.46, 3.63, 6.28]
+  pref_min: -7.43
+  pref_max: 6.28
+- genome: hg19
+  name: Mad1_0002_vs_c-Myc_0001
+  pref_min: -12.14
+  pref_max: 6.85
 - genome: hg19
   name: Max_0003_vs_c-Myc_0001
-  preference_bins:
-    neg: [-8.24, -4.13, -3.69, -3.42, -3.23, -3.05, -2.91, -2.79, -2.68, -2.58]
-    pos: [2.58, 2.73, 2.88, 3.01, 3.18, 3.39, 3.63, 3.95, 4.43, 8.59]
+  pref_min: -8.24
+  pref_max: 8.59
 - genome: hg19
   name: Runx1_0010_vs_Runx2_0011
-  preference_bins:
-    neg: [-3.6, -3.425, -3.25, -2.9, -2.84, -2.79, -2.7, -2.63, -2.58]
-    pos: [2.58, 2.6, 2.63, 2.66, 2.7, 2.74, 2.8, 2.84, 2.97, 4.36]
+  pref_min: -3.6
+  pref_max: 4.36
+- genome: hg38
+  name: Mad1_0002_vs_c-Myc_0001
+  pref_min: -12.14
+  pref_max: 6.85
 - genome: hg38
   name: E2f1_0007_vs_E2f3_0008
-  preference_bins:
-    neg: [-16.98, -7.58, -6.49, -5.64, -4.92, -4.5, -3.85, -3.42, -2.94, -2.58]
-    pos: [2.58, 2.76, 2.95, 3.13, 3.36, 3.65, 3.92, 4.29, 4.85, 9.59]
+  pref_min: -16.98
+  pref_max: 9.59
 - genome: hg38
   name: E2f1_0007_vs_E2f4_0009
-  preference_bins:
-    neg: [-11.44, -6.14, -5.49, -4.67, -4.08, -3.64, -3.31, -3.02, -2.75, -2.58]
-    pos: [2.58, 2.87, 3.14, 3.44, 3.67, 3.95, 4.31, 4.76, 5.39, 9.88]
+  pref_min: -11.44
+  pref_max: 9.88
 - genome: hg38
   name: E2f3_0008_vs_E2f4_0009
-  preference_bins:
-    neg: [-8.05, -4.63, -4.07, -3.65, -3.39, -3.21, -3.03, -2.85, -2.71, -2.58]
-    pos: [2.58, 2.71, 2.87, 3.04, 3.26, 3.54, 3.87, 4.3, 4.98, 8.33]
+  pref_min: -8.05
+  pref_max: 8.33
 - genome: hg38
   name: Elk1_0004_vs_Ets1_0005
-  preference_bins:
-    neg: [-17.24, -7.24, -6.01, -5.25, -4.65, -4.16, -3.7, -3.29, -2.92, -2.58]
-    pos: [2.58, 3.9, 5.18, 6.44, 7.76, 9.17, 10.53, 11.86, 13.51, 25.3]
+  pref_min: -17.24
+  pref_max: 25.3
 - genome: hg38
   name: Elk1_0004_vs_Gabpa_0006
-  preference_bins:
-    neg: [-13.29, -6.51, -5.58, -4.87, -4.39, -3.98, -3.62, -3.26, -2.91, -2.58]
-    pos: [2.58, 3.08, 3.59, 4.1, 4.67, 5.23, 5.72, 6.35, 7.09, 15.66]
+  pref_min: -13.29
+  pref_max: 15.66
 - genome: hg38
   name: Ets1_0005_vs_Gabpa_0006
-  preference_bins:
-    neg: [-19.33, -6.61, -5.77, -5.13, -4.62, -4.18, -3.76, -3.35, -2.97, -2.58]
-    pos: [2.58, 3.12, 3.71, 4.38, 5.18, 6.1, 7.18, 8.4, 9.92, 15.85]
-- genome: hg38
-  name: Mad1_0002_vs_c-Myc_0001
-  preference_bins:
-    neg: [-12.14, -4.66, -4.64, -3.91, -3.84, -3.64, -3.27, -2.92, -2.58]
-    pos: [2.58, 2.73, 2.89, 3.05, 3.23, 3.39, 3.58, 3.85, 4.22, 6.85]
+  pref_min: -19.33
+  pref_max: 15.85
 - genome: hg38
   name: Mad1_0002_vs_Max_0003
-  preference_bins:
-    neg: [-7.43, -6.07, -5.71, -5.45, -4.37, -3.53, -3.22, -2.98, -2.77, -2.58]
-    pos: [2.58, 2.64, 2.74, 2.86, 3.01, 3.21, 3.32, 3.46, 3.63, 6.28]
+  pref_min: -7.43
+  pref_max: 6.28
+- genome: hg38
+  name: Mad1_0002_vs_c-Myc_0001
+  pref_min: -12.14
+  pref_max: 6.85
 - genome: hg38
   name: Max_0003_vs_c-Myc_0001
-  preference_bins:
-    neg: [-8.24, -4.14, -3.69, -3.42, -3.23, -3.06, -2.91, -2.79, -2.68, -2.58]
-    pos: [2.58, 2.73, 2.88, 3.01, 3.19, 3.39, 3.63, 3.95, 4.43, 8.59]
+  pref_min: -8.24
+  pref_max: 8.59
 - genome: hg38
   name: Runx1_0010_vs_Runx2_0011
-  preference_bins:
-    neg: [-3.6, -3.425, -3.25, -2.9, -2.84, -2.79, -2.7, -2.63, -2.58]
-    pos: [2.58, 2.6, 2.63, 2.66, 2.7, 2.74, 2.8, 2.84, 2.97, 4.36]
+  pref_min: -3.6
+  pref_max: 4.36
 
 MODEL_BASE_URL: https://swift.oit.duke.edu/v1/AUTH_gcb/gordan_models