RSEM
RSEM (RNA-Seq by Expectation-Maximization) is a tool for the quantification of RNA-seq data. The RSEM algorithm uses the expectation-maximization technique, it can operate with and without a reference, and reports transcripts per million mapped reads (TPM). RSEM scales linearly with the amount of alignment quantity and uses The Bowtie tool for the read alignments.
Topic
RNA-seq;Gene expression;Transcriptomics
Detail
Operation: Gene expression analysis;RNA-Seq quantification
Software interface: Command-line user interface
Language: C++;Perl
License: GNU General Public License v3
Cost: Free
Version name: 1.3.1
Credit: Dr. James Thomson's MacArthur Professorship, Morgridge Institute for Research support for Computation and Informatics in Biology and Medicine, the National Institutes of Health (NIH).
Input: FASTA, FASTQ
Output: -
Contact: Bo Li bli25@berkeley.edu | Colin N Dewey cdewey@biostat.wisc.edu
Collection: -
Maturity: -
Publications
- RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome.
- Li B and Dewey CN. RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome. RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome. 2011; 12:323. doi: 10.1186/1471-2105-12-323
- https://doi.org/10.1186/1471-2105-12-323
- PMID: 21816040
- PMC: PMC3163565
Download and documentation
Source: https://github.com/deweylab/RSEM/archive/v1.3.1.tar.gz
Documentation: https://github.com/bli25broad/RSEM_tutorial
Home page: http://deweylab.github.io/RSEM/
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