From f089817611a42ffde6d6979520aaa5342f59a874 Mon Sep 17 00:00:00 2001 From: Laurent Gatto Date: Sun, 20 Sep 2020 04:54:44 +0000 Subject: [PATCH] Update README.md --- README.md | 26 +++++++++----------------- 1 file changed, 9 insertions(+), 17 deletions(-) diff --git a/README.md b/README.md index 13fc46a..0915aeb 100644 --- a/README.md +++ b/README.md @@ -1,22 +1,14 @@ -# WSBIM2122 +# WSBIM1322 -This is the Renku project for the course [WSBIM2122](https://uclouvain-cbio.github.io/WSBIM2122/): +This is the Renku project for the course [WSBIM1322](https://uclouvain-cbio.github.io/WSBIM1322/): -> The WSBIM2122 course is a project-based course that teaches the analysis of -> quantitative omics data. It is composed of three major parts: -> - Introductory material about the command line interface, advanced usage of R - markdown for reports and slides, linear models, and utilisation and - interpretation of gene set enrichment and over-representation analyses - (GSEA). -> - Project 1: analysis and interpretation of RNA-Seq data, including high - throughput sequencing (HTS) data processing. -> - Project 2: analysis and interpretation of quantitative proteomics, including - mass spectrometry data (MS) and its processing. - - -The default setup is for students to work on pre-configured university computers -or, if they wish so, to use their own computers. This Renku project will -enable them, or anyone who is interested, to use a pre-configured container. +> The WSBIM1322 course is teaches the basics of statistical data analysis +> applied to high throughput biology. It is aimed at biology and biomedical +> students that are already familiar with the R langauge (see the pre-requisits +> section below). The students will familiarise themselves with statitical +> learning concepts such as unsupervised and supervised learning, hypothesis +> testing, and extend their understanding and practive in R data structures and +> programming and the Bioconductor project. This container runs: -- GitLab