article Open AccessTop 1% cited
RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome
BMC Bioinformatics · 2011 · Vol. 12(1) · pp. 323–323
Bo Li✉(University of Wisconsin–Madison)Colin N. Dewey(University of Wisconsin–Madison)
Abstract
RSEM is an accurate and user-friendly software tool for quantifying transcript abundances from RNA-Seq data. As it does not rely on the existence of a reference genome, it is particularly useful for quantification with de novo transcriptome assemblies. In addition, RSEM has enabled valuable guidance for cost-efficient design of quantification experiments with RNA-Seq, which is currently relatively expensive.
Genomics and Phylogenetic StudiesMolecular Biology Techniques and ApplicationsRNA modifications and cancerComputational biologyRNA-SeqGenomeBiologyReference genomeGeneDNA microarrayTranscriptomeGeneticsGene expression
MeSH terms
AnimalsComputer SimulationHumansRNASoftwareSequence Analysis, RNAProtein IsoformsGene Expression ProfilingMice
Funding
- National Institutes of Health
Citations
22,985
FWCI
60.29
field-weighted impact
References
43
Percentile
100%
vs. same field & year
Citations per year
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References
RNA-Seq: a revolutionary tool for transcriptomics
Nature Reviews Genetics · 2008 · 13,223 citations
The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurements
Nature Biotechnology · 2006 · 2,162 citations
TopHat: discovering splice junctions with RNA-Seq
Bioinformatics · 2009 · 12,093 citations
The Sequence Alignment/Map format and SAMtools
Bioinformatics · 2009 · 66,208 citations
<tt>edgeR</tt> : a Bioconductor package for differential expression analysis of digital gene expression data
Bioinformatics · 2009 · 43,721 citations
RNA-seq: An assessment of technical reproducibility and comparison with gene expression arrays
Genome Research · 2008 · 2,821 citations
Ultrafast and memory-efficient alignment of short DNA sequences to the human genome
Genome biology · 2009 · 22,766 citations
Full-length transcriptome assembly from RNA-Seq data without a reference genome
Nature Biotechnology · 2011 · 22,340 citations
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