https://github.com/bioconductor-source/qdnaseq
Science Score: 23.0%
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○CITATION.cff file
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✓codemeta.json file
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○.zenodo.json file
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○DOI references
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✓Academic publication links
Links to: ncbi.nlm.nih.gov -
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○Scientific vocabulary similarity
Low similarity (11.0%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: bioconductor-source
- Language: R
- Default Branch: devel
- Size: 777 KB
Statistics
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
QDNAseq: Quantitative DNA Sequencing for Chromosomal Aberrations
This repository contains source code for the R/Bioconductor package QDNAseq, which implements the QDNAseq method (Scheinin et al., 2014). For instructions on how to use QDNAseq, see the 'Introduction to QDNAseq' vignette, which also installed together with the package. Please remember to cite Scheinin et al. (2014) whenever using QDNAseq in your research.
Please use the official Bioconductor instructions to install QDNAseq;
r
if (!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("QDNAseq")
To analyze human data, the QDNAseq.hg19 package must be installed;
r
BiocManager::install("QDNAseq.hg19")
To analyze mouse data, the QDNAseq.mm10 package must be installed;
r
BiocManager::install("QDNAseq.mm10")
To install the devel versions of QDNAseq, QDNAseq.hg19, and QDNAseq.mm10, see the Bioconductor devel installation instruction.
References
- Scheinin I, Sie D, Bengtsson H, van de Wiel MA, Olshen AB, van Thuijl HF, van Essen HF, Eijk PP, Rustenburg F, Meijer GA, Reijneveld JC, Wesseling P, Pinkel D, Albertson DG and Ylstra B. DNA copy number analysis of fresh and formalin-fixed specimens by shallow whole-genome sequencing with identification and exclusion of problematic regions in the genome assembly. Genome Research 24: 2022-2032, 2014. PMC4248318
GitHub repository and Bioconductor repository
This GitHub repository is (manually) kept in sync with the Bioconductor devel version of the QDNAseq package. More precisely, the master branch in this GitHub repository is in sync with what is on the Bioconductor git repository (e.g. git clone https://git.bioconductor.org/packages/QDNAseq). The source code previous versions is available via git tags, e.g. QDNAseq 1.21.1.
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
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Dependencies
- actions/checkout v4 composite
- actions/upload-artifact v4 composite
- r-lib/actions/setup-pandoc v2 composite
- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-r-dependencies v2 composite
- r-lib/actions/setup-tinytex v2 composite
- actions/checkout v4 composite
- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-r-dependencies v2 composite
- R >= 3.1.0 depends
- Biobase >= 2.18.0 imports
- CGHbase >= 1.18.0 imports
- CGHcall >= 2.18.0 imports
- DNAcopy >= 1.32.0 imports
- GenomicRanges >= 1.20 imports
- IRanges >= 2.2 imports
- R.utils >= 2.9.0 imports
- Rsamtools >= 1.20 imports
- future.apply >= 1.8.1 imports
- graphics * imports
- matrixStats >= 0.60.0 imports
- methods * imports
- stats * imports
- utils * imports
- BSgenome >= 1.38.0 suggests
- BiocStyle >= 1.8.0 suggests
- GenomeInfoDb >= 1.6.0 suggests
- QDNAseq.hg19 * suggests
- QDNAseq.mm10 * suggests
- R.cache >= 0.13.0 suggests
- digest >= 0.6.20 suggests
- future >= 1.22.1 suggests
- parallelly >= 1.28.1 suggests