https://github.com/bioconductor-source/tximport
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Basic Info
- Host: GitHub
- Owner: bioconductor-source
- Language: R
- Default Branch: devel
- Size: 256 KB
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· Last pushed over 1 year ago
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Readme
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Code of conduct
README.md
tximport
Import and summarize transcript-level estimates for transcript- and gene-level analysis
Description of methods and analysis described in:
- Charlotte Soneson, Michael I. Love, Mark D. Robinson. Differential analyses for RNA-seq: transcript-level estimates improve gene-level inferences, F1000Research, 4:1521, December 2015. doi: 10.12688/f1000research.7563.1
Imports transcript-level abundance, estimated counts and transcript lengths, and summarizes into matrices for use with downstream statistical analysis packages such as edgeR, DESeq2, limma-voom. Average transcript length, weighted by sample-specific transcript abundance estimates, is provided as a matrix which can be used as an offset for different expression of gene-level counts.
See examples in the vignette.
Notes:
- tximport as of version 1.3.9 will import inferential replicates (Gibbs samples or bootstrap samples) from Salmon, Sailfish or kallisto.
- Though we provide here functionality for performing gene-level
differential expression using summarized transcript-level estimates,
this is does not mean we suggest that users only perform gene-level
analysis. Gene-level differential expression can be complemented
with transcript- or exon-level analysis. The argument
txOut=TRUEcan be used to generate transcript-level matrices.
Owner
- Name: (WIP DEV) Bioconductor Packages
- Login: bioconductor-source
- Kind: organization
- Email: maintainer@bioconductor.org
- Website: https://bioconductor.org
- Repositories: 1
- Profile: https://github.com/bioconductor-source
Source code for packages accepted into Bioconductor
GitHub Events
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- Issues event: 2
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Last Year
- Issues event: 2
- Issue comment event: 1
Dependencies
DESCRIPTION
cran
- methods * imports
- stats * imports
- utils * imports
- DESeq2 >= 1.11.6 suggests
- Matrix * suggests
- TxDb.Hsapiens.UCSC.hg19.knownGene * suggests
- arrow * suggests
- edgeR * suggests
- eds * suggests
- jsonlite * suggests
- knitr * suggests
- limma * suggests
- matrixStats * suggests
- readr >= 0.2.2 suggests
- rhdf5 * suggests
- rmarkdown * suggests
- testthat * suggests
- tximportData * suggests