From cec0c4e144a80f7979a48a4a7398135b12fe7004 Mon Sep 17 00:00:00 2001 From: Pete Date: Thu, 1 Aug 2019 16:39:13 -0500 Subject: [PATCH] Moving bracket As per suggestion of @raynamharris --- index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.md b/index.md index 2ab1f11d..ab27ab33 100644 --- a/index.md +++ b/index.md @@ -7,7 +7,7 @@ Good data organization is the foundation of any research project. It not only se Organizing a project that includes sequencing involves many components. There's the experimental setup and conditions metadata, measurements of experimental parameters, sequencing preparation and sample information, the sequences themselves and the files and workflow of any bioinformatics analysis. So much of the information of a sequencing project is digital, and we need to keep track of our digital records in the same way we have a lab notebook and sample freezer. In this lesson, we'll go through the project organization and documentation that will make an efficient bioinformatics workflow possible. Not only will this make you a more effective bioinformatics researcher, it also prepares your data and project for publication, as grant agencies and publishers increasingly require this information. -In this lesson, we'll be using data from a study of experimental evolution using *E. coli*. More information about this dataset is available [here](http://www.datacarpentry.org/organization-genomics/data/). In this study there are several types of files: +In this lesson, we'll be using data from a study of experimental evolution using *E. coli*. [More information about this dataset is available here](http://www.datacarpentry.org/organization-genomics/data/). In this study there are several types of files: - spreadsheet data from the experiment that tracks the strains and their phenotype over time - spreadsheet data with information on the samples that were sequenced - the names of the samples, how they were prepared and the sequencing conditions