Package: rsem (1.3.3+dfsg-1)

[ Source: rsem  ]

RNA-Seq by Expectation-Maximization

RSEM is a software package for estimating gene and isoform expression levels from RNA-Seq data. The RSEM package provides an user-friendly interface, supports threads for parallel computation of the EM algorithm, single-end and paired-end read data, quality scores, variable-length reads and RSPD estimation. In addition, it provides posterior mean and 95% credibility interval estimates for expression levels. For visualization, It can generate BAM and Wiggle files in both transcript-coordinate and genomic-coordinate. Genomic-coordinate files can be visualized by both UCSC Genome browser and Broad Institute’s Integrative Genomics Viewer (IGV). Transcript-coordinate files can be visualized by IGV. RSEM also has its own scripts to generate transcript read depth plots in pdf format. The unique feature of RSEM is, the read depth plots can be stacked, with read depth contributed to unique reads shown in black and contributed to multi-reads shown in red. In addition, models learned from data can also be visualized. Last but not least, RSEM contains a simulator.

Other Packages Related to rsem

• dep: bowtie

  Ultrafast memory-efficient short read aligner

  or bowtie2

  ultrafast memory-efficient short read aligner

• dep: libc6 (>= 2.15) [not arm64, ppc64el]

  GNU C Library: Shared libraries
  also a virtual package provided by libc6-udeb

  dep: libc6 (>= 2.17) [arm64, ppc64el]

• dep: libgcc-s1 (>= 3.0) [not ppc64el]

  GCC support library

  dep: libgcc-s1 (>= 3.4.4) [ppc64el]

• dep: libhts3 (>= 1.10)

  C library for high-throughput sequencing data formats

• dep: libstdc++6 (>= 9)

  GNU Standard C++ Library v3

• dep: perl

  Larry Wall's Practical Extraction and Report Language

• dep: python3

  interactive high-level object-oriented language (default python3 version)

• dep: r-base-core

  GNU R core of statistical computation and graphics system

• sug: hisat2

  graph-based alignment of short nucleotide reads to many genomes

• sug: r-bioc-ebseq

  R package for RNA-Seq Differential Expression Analysis

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Architecture	Package Size	Installed Size	Files
amd64	35,292.1 kB	37,142.0 kB	[list of files]
arm64	35,239.1 kB	36,906.0 kB	[list of files]
mips64el	35,266.3 kB	37,493.0 kB	[list of files]
ppc64el	35,291.9 kB	37,730.0 kB	[list of files]
s390x	35,240.8 kB	37,130.0 kB	[list of files]