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Introduction to differential gene expression analysis using RNA-seq

Dündar, Friederike; Skrabanek, Luce; Zumbo, Paul


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{
  "inLanguage": {
    "alternateName": "eng", 
    "@type": "Language", 
    "name": "English"
  }, 
  "description": "<p>Comprehensive introduction to the processing and analysis of bulk RNA-seq data including basic information about Illumina-based short read sequencing, common file formats (FASTQ, SAM/BAM, BED, ...) and quality controls. Contains ready-to-use UNIX and R code; covers the most common application of bulk RNA-seq to identify genes that are differentially expressed when comparing two conditions.</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Applied Bioinformatics Core, Weill Cornell Medicine", 
      "@type": "Person", 
      "name": "D\u00fcndar, Friederike"
    }, 
    {
      "affiliation": "Applied Bioinformatics Core, Weill Cornell Medicine", 
      "@type": "Person", 
      "name": "Skrabanek, Luce"
    }, 
    {
      "affiliation": "Applied Bioinformatics Core, Weill Cornell Medicine", 
      "@type": "Person", 
      "name": "Zumbo, Paul"
    }
  ], 
  "url": "https://zenodo.org/record/3985047", 
  "datePublished": "2015-09-01", 
  "version": "2020-05", 
  "keywords": [
    "RNA-seq; bioinformatics; differential gene expression"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.3985047", 
  "@id": "https://doi.org/10.5281/zenodo.3985047", 
  "@type": "CreativeWork", 
  "name": "Introduction to differential gene expression analysis using RNA-seq"
}
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