Mapping and quantifying mammalian transcriptomes by RNA-Seq¶
Why this mattered¶
TBD
Abstract¶
(no abstract available)
Related¶
- cite → Basic local alignment search tool — RNA-Seq uses BLAST-style local sequence alignment principles to map sequenced transcript reads to reference genes or genomes.
- enables → The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans — RNA-Seq transcript quantification enabled GTEx to measure gene expression across tissues for eQTL mapping.
- enables → Integrative analysis of 111 reference human epigenomes — RNA-seq transcriptome quantification enabled Roadmap Epigenomics to integrate gene expression with chromatin and DNA methylation profiles.
- cite ← Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation — Cufflinks extends RNA-Seq transcriptome mapping and quantification from gene-level expression toward transcript assembly, novel isoforms, and isoform switching.
- cite ← The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans — The GTEx pilot quantifies tissue-specific gene expression using RNA-seq transcriptome measurement methods.
- cite ← Integrative analysis of 111 reference human epigenomes — The Roadmap Epigenomics analysis uses RNA-seq transcript quantification concepts from mammalian transcriptome mapping to connect epigenomic states with gene expression.
- cite ← Differential expression analysis for sequence count data — DESeq builds on RNA-Seq transcriptome mapping by providing statistical differential-expression tests for the read-count data it produces.
- enables ← Basic local alignment search tool — BLAST enabled RNA-Seq transcriptome mapping by providing fast local sequence alignment for assigning short reads or assembled sequences to genes.