<![CDATA[BOL: DIY Transcriptomics]]> https://bioinformaticsonline.com/bookmarks/view/44620/diy-transcriptomics? https://bioinformaticsonline.com/bookmarks/view/44620/diy-transcriptomics Wed, 31 Jul 2024 01:19:26 -0500 https://bioinformaticsonline.com/bookmarks/view/44620/diy-transcriptomics <![CDATA[DIY Transcriptomics]]> A semester-long course covering best practices for the analysis of high-throughput sequencing data from gene expression (RNA-seq) studies, with a primary focus on empowering students to be independent in the use of lightweight and open-source software using the R programming language and the Bioconductor suite of packages. This course follows a hybrid format in which online lectures are paired with in-person labs where students participate in hands-on, live coding exercises using real ‘omic datasets. The course is focused on datasets and topics central to infectious disease research, immunology, and One-Health, but the concepts and approaches covered are applicable to any genomic study.

https://diytranscriptomics.com

Address of the bookmark: https://diytranscriptomics.com

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