Views provided by UsageCountsGTEx exon-exon junction-level splicing summary
NIH| Statistical analysis of gene expression quantitative trait loci (eQTL) ,
NIH| Methods for high-resolution analysis of genetic effects on gene expression ,
NSF| CIF21 DIBBs: Long Term Access to Large Scientific Data Sets: The SkyServer and Beyond ,
NIH| Harnessing GTEx to Create Transcriptome Knowledge and Inform Disease Biology ,
NIH| Statistical models for biological and technical variation in RNA sequencing ,
NIH| Identification and validation of cell specific eQTLs by Bayesian modeling ,
NIH| Characterizing the developing human brain transcriptome at single-base resolution ,
NIH| Hardening and Scaling Core Genomics Software ,
NIH| Methods for high-resolution analysis of genetic effects on gene expression
Langmead, Benjamin; Wilks, Christopher;
GTEx exon-exon junction-level splicing summary
GTEx exon-exon junction-level splicing summary from the Snaptron collection. Format is a tab-separated text file compressed and indexed using BGZip. The accompanying Tabix index is also available. More information at http://snaptron.cs.jhu.edu.
Supported by NIH grant R01GM118568 to BL and NIH Cloud Credits Pilot award CCREQ-2017-03-00086 to BL
- Johns Hopkins University United States
gtex exon summary rna-seq
gtex exon summary rna-seq
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).0 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.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average views 3 - 3views
selected citations
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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).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP!influenceInfluence provided by BIP!
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Influence provided by BIP!impulseImpulse provided by BIP!
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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NIH| Statistical analysis of gene expression quantitative trait loci (eQTL), NIH| Methods for high-resolution analysis of genetic effects on gene expression, NSF| CIF21 DIBBs: Long Term Access to Large Scientific Data Sets: The SkyServer and Beyond, NIH| Harnessing GTEx to Create Transcriptome Knowledge and Inform Disease Biology