Lesson Open Access
Dündar, Friederike; Skrabanek, Luce; Zumbo, Paul
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <identifier identifierType="DOI">10.5281/zenodo.3985047</identifier> <creators> <creator> <creatorName>Dündar, Friederike</creatorName> <givenName>Friederike</givenName> <familyName>Dündar</familyName> <affiliation>Applied Bioinformatics Core, Weill Cornell Medicine</affiliation> </creator> <creator> <creatorName>Skrabanek, Luce</creatorName> <givenName>Luce</givenName> <familyName>Skrabanek</familyName> <affiliation>Applied Bioinformatics Core, Weill Cornell Medicine</affiliation> </creator> <creator> <creatorName>Zumbo, Paul</creatorName> <givenName>Paul</givenName> <familyName>Zumbo</familyName> <affiliation>Applied Bioinformatics Core, Weill Cornell Medicine</affiliation> </creator> </creators> <titles> <title>Introduction to differential gene expression analysis using RNA-seq</title> </titles> <publisher>Zenodo</publisher> <publicationYear>2015</publicationYear> <subjects> <subject>RNA-seq; bioinformatics; differential gene expression</subject> </subjects> <dates> <date dateType="Issued">2015-09-01</date> </dates> <language>en</language> <resourceType resourceTypeGeneral="InteractiveResource"/> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3985047</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3985046</relatedIdentifier> </relatedIdentifiers> <version>2020-05</version> <rightsList> <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights> <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights> </rightsList> <descriptions> <description descriptionType="Abstract"><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></description> </descriptions> </resource>
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