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Intro to Bioinformatics Tools Workshop

Current: Summer Semester 2021
Author: W. Zac Stephens

This workshop is geared towards learning basic bioinformatic skills on the Linux command-line and R with RStudio. The objective is not necessarily to teach specific analyses, but to get biologists with no previous coding experience some exposure and working understanding of basic command-line skills so that they can continue learning by doing with their own datasets, and better take advantage of the many online tutorials that go through specific types of analyses.

We use the OnDemand interface at the University of Utah's Center for High-Performance Computing throughout because it provides a common environemnt for all users, and also because we will extensively discuss CHPC's usage for high-throughput sequencing experiments in particular.

Here I provide detailed workthroughs from each workshop day as individual pages. Each served as the basis for the slides from each day, and have more written explanation so that they can hopefully be worked through alone. I will upload them before each class and then, likely, update them at the end of each day according to how far we get. The idea is that only the time during the workshop is needed, but if one can't make it to a specific class, these can be used to workthrough the day's lesson on their own and keep up.

Tentative Schedule:

Day # Date Title Topics VideoLink
1 July 14 Part 1-1: Intro to Linux Basic commands, moving around CLI Class 1
2 July 17 Part 1-2: Intro to Linux More commands, moving around CLI, file manipulation Class 2
3 July 21 Part 1-3: Linux, CHPC and Software Install Methods CHPC, paths, install methods, QIIME2 conda install Class 3
4 July 23 NO CLASSS
5 July 28 Part 2-1: regex and for loop in Linux, Begin 16S seq process with QIIME2, sra-toolkit, grep, for loops, QIIME2 16S seq processing [Class 4]
6 July 30 Part 2-2: 16S seq process with QIIME2 16S seq preprocessing, batch job submission [Class 5]
7 Aug 4 Part 2-3: 16S seq analysis with QIIME2 microbiome data analysis in QIIME2, intro to markdown [Class 6]
8 Aug 6 Part 3-1: RNAseq process and alignments sequence QC and alignments [Class 7]
9 Aug 11 Part 3-2: Intro to R and R Studio basic R, R packages, bioconductor [Class 8]
10 Aug 13 Part 3-3: Intro to R and R Studio. basic R, R markdown [Class 9]
11 Aug 18 Part 3-4: RNAseq analysis 1: DE analysis differential expression analysis [Class 10]
12 Aug 20 Part 3-5: RNAseq analysis 2: Higher-level results interpretation and plotting gsea/term enrichment, clusterprofiler, volcano plots, ggplots [Class 11]