Пакет: r-bioc-bitseq (1.34.0+dfsg-1)

[ Източник: r-bioc-bitseq  ]

transcript expression inference and analysis for RNA-seq data

The BitSeq package is targeted for transcript expression analysis and differential expression analysis of RNA-seq data in two stage process. In the first stage it uses Bayesian inference methodology to infer expression of individual transcripts from individual RNA-seq experiments. The second stage of BitSeq embraces the differential expression analysis of transcript expression. Providing expression estimates from replicates of multiple conditions, Log-Normal model of the estimates is used for inferring the condition mean transcript expression and ranking the transcripts based on the likelihood of differential expression.

Други пакети, свързани с r-bioc-bitseq

• dep: libc6 (>= 2.29)

  GNU C Library: Shared libraries
  също и виртуален пакет, предлаган от libc6-udeb

• dep: libcurl4 (>= 7.18.0)

  easy-to-use client-side URL transfer library (OpenSSL flavour)

• dep: libgcc-s1 (>= 3.0) [amd64, s390x]

  GCC support library

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

  dep: libgcc-s1 (>= 3.5) [armel, armhf]

  dep: libgcc-s1 (>= 4.2) [arm64, i386, mips64el, mipsel]

• dep: libgomp1 (>= 6)

  GCC OpenMP (GOMP) support library

• dep: libstdc++6 (>= 5.2)

  GNU Standard C++ Library v3

• dep: r-api-4.0

  виртуален пакет, предлаган от r-base-core

• dep: r-api-bioc-3.12

  виртуален пакет, предлаган от r-bioc-biocgenerics

• dep: r-base-core (>= 4.0.3-1)

  GNU R core of statistical computation and graphics system

• dep: r-bioc-iranges

  GNU R low-level containers for storing sets of integer ranges

• dep: r-bioc-rhtslib (>= 1.15.5)

  HTSlib high-throughput sequencing library as GNU R package

• dep: r-bioc-rsamtools (>= 1.99.3)

  GNU R binary alignment (BAM), variant call (BCF), or tabix file import

• dep: r-bioc-s4vectors

  BioConductor S4 implementation of vectors and lists

• sug: r-bioc-biocstyle

  standard styles for vignettes and other Bioconductor documents

• sug: r-bioc-deseq

  GNU R differential gene expression analysis

• sug: r-bioc-edger

  Empirical analysis of digital gene expression data in R

Изтегляне на r-bioc-bitseq

Изтегляне за всички налични архитектури

Архитектура	Големина на пакета	Големина след инсталиране	Файлове
amd64	1 104,1 кБ	5 998,0 кБ	[списък на файловете]
arm64	1 062,4 кБ	5 890,0 кБ	[списък на файловете]
armel	1 041,0 кБ	5 838,0 кБ	[списък на файловете]
armhf	1 047,6 кБ	5 594,0 кБ	[списък на файловете]
i386	1 135,7 кБ	6 077,0 кБ	[списък на файловете]
mips64el	1 066,9 кБ	6 107,0 кБ	[списък на файловете]
mipsel	1 070,9 кБ	6 055,0 кБ	[списък на файловете]
ppc64el	1 132,8 кБ	6 254,0 кБ	[списък на файловете]
s390x	1 065,5 кБ	6 029,0 кБ	[списък на файловете]