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InteractiveResource . 2015
License: CC BY
Data sources: Datacite
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InteractiveResource . 2020
License: CC BY
Data sources: Datacite
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InteractiveResource . 2020
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Data sources: Datacite
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Introduction to differential gene expression analysis using RNA-seq

appsOther research productkeyboard_double_arrow_right InteractiveResource 01 Sep 2015 English Publisher:Zenodo
Authors: Dündar, Friederike; Skrabanek, Luce; Zumbo, Paul;

doi: 10.5281/zenodo.3985047 , 10.5281/zenodo.4390117 , 10.5281/zenodo.3985046

Introduction to differential gene expression analysis using RNA-seq

Abstract

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.

Keywords

RNA-seq; bioinformatics; differential gene expression

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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3
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144