[ buster ]
[ bullseye ]
[ Bron: r-bioc-bitseq ]
Pakket: r-bioc-bitseq (1.34.0 dfsg-1)
Verwijzigingen voor r-bioc-bitseq
Debian bronnen:
Het bronpakket r-bioc-bitseq downloaden:
- [r-bioc-bitseq_1.34.0 dfsg-1.dsc]
- [r-bioc-bitseq_1.34.0 dfsg.orig.tar.xz]
- [r-bioc-bitseq_1.34.0 dfsg-1.debian.tar.xz]
Beheerders:
Externe bronnen:
- Homepage [bioconductor.org]
Vergelijkbare pakketten:
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.
Andere aan r-bioc-bitseq gerelateerde pakketten
|
|
|
|
-
- dep: libc6 (>= 2.29)
- GNU C Bibliotheek: Gedeelde bibliotheken
Ook een virtueel pakket geboden door: libc6-udeb
-
- dep: libcurl4 (>= 7.18.0)
- easy-to-use client-side URL transfer library (OpenSSL flavour)
-
- dep: libgcc-s1 (>= 3.5)
- GCC support bibliotheek
-
- dep: libgomp1 (>= 6)
- GCC OpenMP (GOMP) support library
-
- dep: libstdc 6 (>= 5.2)
- GNU Standard C Library v3
-
- dep: r-api-4.0
- virtueel pakket geboden door r-base-core
-
- dep: r-api-bioc-3.12
- virtueel pakket geboden door 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