Week 1: writing .py files and pushing to Git Repo
* hello_world.py
Week 2: using math and indexing for basic python and bioinformatics code
* sumfac.py
* frame.py
Week 3: using for loops and nested for loops to analyze and slice DNA sequence. analyzing efficient computational methods
* gc_win.py
* gc_win2.py
Week 4: importing modules, using command line parameters, reading from files, and other mathematical practices
* birthday.py
* entropy.py
* fasta_stats.py
* numbers.txt
* rand_fasta.py
* rand_seq.py
* seqstats.py
* stats.py
Week 5: review through previous lessons. redoing old code to practice syntax and pattern recognition
* at_seq.py
* birthday.py
* codons.py
* entropy.py
* fizzbuzz.py
* gc_win.py
* nucleotides.txt
* pepsearch.py
* proteins.fasta.gz
* rand_fasta.py
* rand_seq.py
* xcoverage.py
lilymaryam/bioinformatics_programs
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