About
Bioconductor

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 671 software packages, and an active user community. Bioconductor is also available as an Amazon Machine Image (AMI).

Use Bioconductor for...

  • Microarrays

    Import Affymetrix, Illumina, Nimblegen, Agilent, and other platforms. Perform quality assessment, normalization, differential expression, clustering, classification, gene set enrichment, genetical genomics and other workflows for expression, exon, copy number, SNP, methylation and other assays. Access GEO, ArrayExpress, Biomart, UCSC, and other community resources.

  • Variants

    Read and write VCF files. Identify structural location of variants and compute amino acid coding changes for non-synonymous variants. Use SIFT and PolyPhen database packages to predict consequence of amino acid coding changes.

  • Sequence Data

    Import fasta, fastq, ELAND, MAQ, BWA, Bowtie, BAM, gff, bed, wig, and other sequence formats. Trim, transform, align, and manipulate sequences. Perform quality assessment, ChIP-seq, differential expression, RNA-seq, and other workflows. Access the Sequence Read Archive.

  • Annotation

    Use microarray probe, gene, pathway, gene ontology, homology and other annotations. Access GO, KEGG, NCBI, Biomart, UCSC, vendor, and other sources.

  • High Throughput Assays

    Import, transform, edit, analyze and visualize flow cytometric, mass spec, HTqPCR, cell-based, and other assays.

  • Transcription Factors

    Find candidate binding sites for known transcription factors via sequence matching.

  • Recent Courses

    Explore material from recent courses, including Intermediate R / Bioconductor for High Throughput Sequence Analysis (February 14-15, 2013).

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Re: DEXSeq: Creating Sample
2013-05-26T05:29:34Z
DEXSeq: Creating Sample
2013-05-26T00:55:51Z
DEXSeq: Creating sample
2013-05-25T21:55:38Z
DEXSeq Problems
2013-05-25T19:52:15Z

Events

BioC2013
18 - 19 July 2013 — Seattle, WA, USA

Intermediate R / Bioconductor for High-Throughput Sequence Analysis
28 - 29 May 2013 — Seattle, WA, USA

Advanced RNA-Seq and ChiP-Seq Data Analysis Course
03 - 06 June 2013 — Cambridge, UK

CSAMA 2013 (Computational Statistics for Genome Biology)
24 - 28 June 2013 — Brixen-Bressanone, Italy

R/Bioconductor for Analysis and Comprehension of High-throughput Genomic Data
10 - 12 July 2013 — Albacete, Spain

Practical Workshop on High-Throughput Sequencing Data Analysis
30 September - 04 October 2013 — Okinawa, Japan

EMBO Practical Course on Analysis of High-Throughput Sequencing Data
21 - 26 October 2013 — Cambridge, UK

See all events  »

News

Bioconductor 2.12 released
Following the usual 6-month cycle, the Bioconductor community released Bioconductor 2.12 on April 4th, 2013. This release comprises 671 software packages and more than 675 up-to-date annotation packages. It has been expressly designed to work with R 3.0.

Bioconductor 2.11 released
Following the usual 6-month cycle, the Bioconductor community released Bioconductor 2.11 on October 3rd, 2012. This release comprises 610 software packages and more than 650 up-to-date annotation packages. It has been expressly designed to work with R 2.15.

Bioconductor 2.10 released
Following the usual 6-month cycle, the Bioconductor community released Bioconductor 2.10 on April 2nd, 2012. This release comprises 554 software packages and more than 600 up-to-date annotation packages. It has been expressly designed to work with R 2.15.


Fred Hutchinson Cancer Research Center