https://github.com/bioconductor-source/quasr
Science Score: 49.0%
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✓DOI references
Found 3 DOI reference(s) in README -
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Links to: ncbi.nlm.nih.gov -
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○Scientific vocabulary similarity
Low similarity (12.2%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: bioconductor-source
- Language: R
- Default Branch: devel
- Size: 2.33 MB
Statistics
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Quantify and annotate short reads in R
Overview
QuasR aims to cover the whole analysis workflow of typical ultra-high throughput
sequencing experiments, starting from the raw sequence reads, over pre-processing and
alignment, up to quantification. A single R script can contain all steps of a complete
analysis, making it simple to document, reproduce or share the workflow containing all
relevant details.
The QuasR package integrates the functionality of several R packages
(such as IRanges and Rsamtools) and external software (e.g. bowtie,
through the Rbowtie package).
The package was originally created for in house use at the Friedrich Miescher Institute. Current contributors include:
- Michael Stadler
- Dimos Gaidatzis
- Charlotte Soneson
- Anita Lerch
- Florian Hahne
Functionality
The current QuasR release supports the analysis of single read and
paired-end ChIP-seq (chromatin immuno-precipitation combined with sequencing), RNA-seq
(gene expression profiling by sequencing of RNA) and Bis-seq (measurement of DNA
methylation by sequencing of bisulfite-converted genomic DNA) experiments. Allele
specific alignment and quantification is also supported in all of these experiment
types. QuasR has been successfully used with data from Illumina, 454 Life Technologies
and SOLiD sequencers, the latter by using bam files created externally QuasR.
Reference
QuasR has been described in:
"QuasR: Quantify and Annotate Short Reads in R"
Gaidatzis, D. and Lerch, A. and Hahne, F. and Stadler, M.B.
Bioinformatics 2015, 31(7):1130-1132.
PubMed: 25417205, doi: 10.1093/bioinformatics/btu781
Download from Bioconductor
Software status
| Platforms | OS | R CMD check | Coverage |
|:------------------:|:----------------:|:----------------:|:----------------:|
| Github-Actions | Multiple | |
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| Bioc (devel) | Multiple |
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| Bioc (release) | Multiple |
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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
Total
- Member event: 1
- Push event: 5
- Create event: 1
Last Year
- Member event: 1
- Push event: 5
- Create event: 1
Dependencies
- actions/cache v1 composite
- actions/checkout v3 composite
- actions/upload-artifact master composite
- actions/upload-artifact v3 composite
- grimbough/bioc-actions/build-install-check v1 composite
- grimbough/bioc-actions/run-BiocCheck v1 composite
- grimbough/bioc-actions/setup-bioc v1 composite
- r-lib/actions/setup-pandoc v2 composite
- r-lib/actions/setup-r-dependencies v2 composite
- actions/checkout v2 composite
- r-lib/actions/run-rchk master composite
- GenomicRanges * depends
- R >= 4.4 depends
- Rbowtie * depends
- parallel * depends
- AnnotationDbi * imports
- BSgenome * imports
- Biobase * imports
- BiocGenerics * imports
- BiocParallel * imports
- Biostrings * imports
- GenomeInfoDb * imports
- GenomicFeatures * imports
- GenomicFiles * imports
- IRanges * imports
- Rsamtools >= 2.13.1 imports
- S4Vectors * imports
- ShortRead * imports
- grDevices * imports
- graphics * imports
- methods * imports
- rtracklayer * imports
- stats * imports
- tools * imports
- txdbmaker * imports
- utils * imports
- BiocStyle * suggests
- GenomicAlignments * suggests
- Gviz * suggests
- Rhisat2 * suggests
- covr * suggests
- knitr * suggests
- rmarkdown * suggests
- testthat * suggests
- GENOMENAME * depends