Пакунок: r-bioc-bitseq (1.34.0+dfsg-1)
Links for r-bioc-bitseq
Debian Resources:
Download Source Package r-bioc-bitseq:
- [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]
Maintainers:
External Resources:
- Homepage [bioconductor.org]
Similar packages:
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.
Інші пакунки пов'язані з r-bioc-bitseq
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- dep: libc6 (>= 2.29)
- Бібліотека GNU C: спільні бібліотеки
also a virtual package provided by libc6-udeb
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- dep: libcurl4 (>= 7.18.0)
- Легка у використанні клієнтська бібліотека передачі URL (різновид OpenSSL)
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- dep: libgcc-s1 (>= 4.2)
- Допоміжна бібліотека GCC
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- dep: libgomp1 (>= 6)
- Підтримувальна бібліотека GCC OpenMP (GOMP)
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- dep: libstdc++6 (>= 5.2)
- Стандартна бібліотека C++ GNU, версії 3
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- dep: r-api-4.0
- virtual package provided by r-base-core
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- dep: r-api-bioc-3.12
- virtual package provided by r-bioc-biocgenerics
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- dep: r-base-core (>= 4.0.3-1)
- GNU R core of statistical computation and graphics system
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- dep: r-bioc-iranges
- GNU R low-level containers for storing sets of integer ranges
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- dep: r-bioc-rhtslib (>= 1.15.5)
- HTSlib high-throughput sequencing library as GNU R package
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- dep: r-bioc-rsamtools (>= 1.99.3)
- GNU R binary alignment (BAM), variant call (BCF), or tabix file import
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- dep: r-bioc-s4vectors
- BioConductor S4 implementation of vectors and lists
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- sug: r-bioc-biocstyle
- standard styles for vignettes and other Bioconductor documents
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- sug: r-bioc-deseq
- GNU R differential gene expression analysis
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- sug: r-bioc-edger
- Empirical analysis of digital gene expression data in R
Завантажити r-bioc-bitseq
Архітектура | Розмір пакунка | Розмір після встановлення | Файли |
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mips64el | 1,066.9 kB | 6,107.0 kB | [список файлів] |