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- Bioconductor - Home
The Bioconductor project aims to develop and share open source software for precise and repeatable analysis of biological data We foster an inclusive and collaborative community of developers and data scientists
- Bioconductor - Install
The Bioconductor project aims to develop and share open source software for precise and repeatable analysis of biological data We foster an inclusive and collaborative community of developers and data scientists
- Bioconductor - Bioconductor 3. 20 Released
We are pleased to announce Bioconductor 3 20, consisting of 2289 software packages, 431 experiment data packages, 928 annotation packages, 30 workflows and 5 books
- Bioconductor - About
The Bioconductor project aims to develop and share open source software for precise and repeatable analysis of biological data We foster an inclusive and collaborative community of developers and data scientists
- Bioconductor - Bioconductor 3. 17 Released
We are pleased to announce Bioconductor 3 17, consisting of 2230 software packages, 419 experiment data packages, 912 annotation packages, 27 workflows and 3 books
- Bioconductor - 3. 21 Software Packages
The Bioconductor project aims to develop and share open source software for precise and repeatable analysis of biological data We foster an inclusive and collaborative community of developers and data scientists
- Bioconductor - Workflows
The Bioconductor project aims to develop and share open source software for precise and repeatable analysis of biological data We foster an inclusive and collaborative community of developers and data scientists
- Bioconductor - DESeq2
Bioconductor version: Release (3 21) Estimate variance-mean dependence in count data from high-throughput sequencing assays and test for differential expression based on a model using the negative binomial distribution
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