[ aramo ]
[ Source: r-bioc-grohmm ]
Пакунок: r-bioc-grohmm (1.28.0-1)
Links for r-bioc-grohmm
Trisquel Resources:
Download Source Package r-bioc-grohmm:
- [r-bioc-grohmm_1.28.0-1.dsc]
- [r-bioc-grohmm_1.28.0.orig.tar.gz]
- [r-bioc-grohmm_1.28.0-1.debian.tar.xz]
Maintainer:
Original Maintainers:
- Debian R Packages Maintainers
- Steffen Moeller
External Resources:
- Homepage [bioconductor.org]
Similar packages:
GRO-seq Analysis Pipeline
This BioConductor package provides a pipeline for the analysis of GRO- seq data. Among the more advanced features, r-bioc-grohmm predicts the boundaries of transcriptional activity across the genome de novo using a two-state hidden Markov model (HMM).
The used model essentially divides the genome into transcribed and non- transcribed regions in a strand specific manner. HMMs are used to identify the leading edge of Pol II at genes activated by a stimulus in GRO-seq time course data. This approach allows the genome-wide interrogation of transcription rates in cells.
Інші пакунки пов'язані з r-bioc-grohmm
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- dep: libc6 (>= 2.17)
- GNU C Library: Shared libraries
also a virtual package provided by libc6-udeb
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- dep: r-api-4.0
- virtual package provided by r-base-core
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- dep: r-api-bioc-3.14
- virtual package provided by r-bioc-biocgenerics
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- dep: r-base-core (>= 4.1.2-1ubuntu1)
- GNU R core of statistical computation and graphics system
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- dep: r-bioc-genomeinfodb
- BioConductor utilities for manipulating chromosome identifiers
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- dep: r-bioc-genomicalignments (>= 1.15.6)
- BioConductor representation and manipulation of short genomic alignments
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- dep: r-bioc-genomicranges (>= 1.31.8)
- BioConductor representation and manipulation of genomic intervals
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- dep: r-bioc-iranges (>= 2.13.12)
- GNU R low-level containers for storing sets of integer ranges
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- dep: r-bioc-rtracklayer (>= 1.39.7)
- GNU R interface to genome browsers and their annotation tracks
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- dep: r-bioc-s4vectors (>= 0.17.25)
- BioConductor S4 implementation of vectors and lists
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- dep: r-cran-mass
- GNU R package of Venables and Ripley's MASS
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- sug: r-bioc-biocstyle
- standard styles for vignettes and other Bioconductor documents
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- sug: r-bioc-edger
- Empirical analysis of digital gene expression data in R
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- sug: r-bioc-genomicfeatures
- GNU R tools for making and manipulating transcript centric annotations
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- sug: r-bioc-org.hs.eg.db
- genome-wide annotation for Human
Завантажити r-bioc-grohmm
| Архітектура | Розмір пакунка | Розмір після встановлення | Файли |
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| arm64 | 4,331.9 kB | 4492 kB | [список файлів] |