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Bioconductor Mirror, Department of Statistics, TU Dortmund

Bioconductor is an open source and open development software project for the analysis and comprehension of genomic data. Bioconductor is based primarily on the R programming language, but does contain contributions in other programming languages. It has two releases each year that follow the semiannual releases of R. In addition there are a large number of meta-data packages available that are mainly, but not solely, oriented towards different types of microarrays and next-generation sequencing analysis. Th

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Bioconductor Mirror, Department of Statistics, TU Dortmund | bioconductor.statistik.tu-dortmund.de Reviews
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Bioconductor is an open source and open development software project for the analysis and comprehension of genomic data. Bioconductor is based primarily on the R programming language, but does contain contributions in other programming languages. It has two releases each year that follow the semiannual releases of R. In addition there are a large number of meta-data packages available that are mainly, but not solely, oriented towards different types of microarrays and next-generation sequencing analysis. Th
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Bioconductor Mirror, Department of Statistics, TU Dortmund | bioconductor.statistik.tu-dortmund.de Reviews

https://bioconductor.statistik.tu-dortmund.de

Bioconductor is an open source and open development software project for the analysis and comprehension of genomic data. Bioconductor is based primarily on the R programming language, but does contain contributions in other programming languages. It has two releases each year that follow the semiannual releases of R. In addition there are a large number of meta-data packages available that are mainly, but not solely, oriented towards different types of microarrays and next-generation sequencing analysis. Th

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Bioconductor - BiocViews

http://bioconductor.statistik.tu-dortmund.de/packages/2.14/BiocViews.html

Developers: check this box to toggle the visibility of childless biocViews. Contact us: support.bioconductor.org. Hosting provided by Fred Hutchinson Cancer Research Center.

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Bioconductor - BiocViews

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Bioconductor - 3.1 ExperimentData Packages

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Bioconductor version: 3.1. Affymetrix Data for Demonstration Purpose. Affymetrix Human Genome U133A 2.0 Array (GPL571) Expression Data Package. Affymetrix Human hgu133a Array (GPL96) Expression Data Package. Affyhgu133Plus2Expr (GPL570) Expression Data Package. Affymetrix data files (CEL, CDF, CHP, EXP, PGF, PSI) for testing. Affymetrix Mouse Genome 430 2.0 Array (GPL1261) Expression Data Package. SummarizedExperiment for RNA-Seq in airway smooth muscle cells, by Himes et al PLoS One 2014. Gene expressio...

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Bioconductor - 2.14 ExperimentData Packages

http://bioconductor.statistik.tu-dortmund.de/packages/2.14/data/experiment

Bioconductor version: 2.14. Affymetrix Data for Demonstration Purpose. Affymetrix Human Genome U133A 2.0 Array (GPL571) Expression Data Package. Affymetrix Human hgu133a Array (GPL96) Expression Data Package. Affyhgu133Plus2Expr (GPL570) Expression Data Package. Affymetrix data files (CEL, CDF, CHP, EXP, PSI) for testing. Affymetrix Mouse Genome 430 2.0 Array (GPL1261) Expression Data Package. Affymetrix Mouse 430 2.0 Array (GPL1261) Expression Data Package. Rafael A. Irizarry. Example of Amplified Data.

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Bioconductor - 2.14 AnnotationData Packages

http://bioconductor.statistik.tu-dortmund.de/packages/2.14/data/annotation

Bioconductor version: 2.14. Codelink ADME Rat 16-Assay Bioarray annotation data (chip adme16cod). Affymetrix Arabidopsis Genome Array annotation data (chip ag). Probe sequence data for microarrays of type ag. Base Level Annotation databases for anopheles. Base Level Annotation databases for arabidopsis. Affymetrix Arabidopsis ATH1 Genome Array annotation data (chip ath1121501). Probe sequence data for microarrays of type ath1121501. Probe sequence data for microarrays of type barley1. Full genome sequenc...

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Bioconductor Mirror, Department of Statistics, TU Dortmund

Is an open source and open development software project for the analysis and comprehension of genomic data. Bioconductor is based primarily on the R. Programming language, but does contain contributions in other programming languages. It has two releases each year that follow the semiannual releases of R. In addition there are a large number of meta-data packages available that are mainly, but not solely, oriented towards different types of microarrays and next-generation sequencing analysis. Past Releas...

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