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, 554 software packages, and an active user community. Bioconductor is also available as an Amazon Machine Image (AMI).

References in zbMATH (referenced in 282 articles , 2 standard articles )

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  1. Robinson, Mark D.; Speed, Terence P.: A comparison of affymetrix gene expression arrays (2007) ioport
  2. Sánchez, Alex; Salicrú, Miquel; Ocaña, Jordi: Statistical methods for the analysis of high-throughput data based on functional profiles derived from the Gene Ontology (2007)
  3. Sjögren, Anders; Kristiansson, Erik; Rudemo, Mats; Nerman, Olle: Weighted analysis of general microarray experiments (2007) ioport
  4. Toedling, Joern; Sklyar, Oleg; Huber, Wolfgang: Ringo - an R/Bioconductor package for analyzing chip-chip readouts (2007) ioport
  5. Wu, Baolin: Cancer outlier differential gene expression detection (2007)
  6. Dunning, Mark J.; Thorne, Natalie P.; Camilier, Isabelle; Smith, Michael L.; Tavaré, Simon: Quality control and low-level statistical analysis of Illumina BeadArrays (2006)
  7. Jones, Lesley; Goldstein, Darlene R.; Hughes, Gareth P.; Strand, Andrew; Collin, Francois; Dunnett, Stephen B.; Kooperberg, Charles L.; Aragaki, Aaron; Olson, James M.; Augood, Sarah J.; Faull, Richard Lm; Luthi-Carter, Ruth; Moskvina, Valentina; Hodges, Angela K.: Assessment of the relationship between pre-chip and post-chip quality measures for affymetrix genechip expression data (2006) ioport
  8. Landgrebe, Jobst; Bretz, Frank; Brunner, Edgar: Efficient design and analysis of two colour factorial microarray experiments (2006)
  9. Li, Sujun; Liu, Boshu; Zeng, Rong; Cai, Yudong; Li, Yixue: Predicting (O)-glycosylation sites in mammalian proteins by using SVMs (2006)
  10. Marzolf, Bruz; Deutsch, Eric W.; Moss, Patrick; Campbell, David; Johnson, Michael H.; Galitski, Timothy: SBEAMS-microarray: Database software supporting genomic expression analyses for systems biology (2006) ioport
  11. McGee, Monnie; Chen, Zhongxue: Parameter estimation for the exponential-normal convolution model for background correction of Affymetrix genechip data (2006)
  12. Okoniewski, Michal J.; Miller, Crispin J.: Hybridization interactions between probesets in short oligo microarrays lead to spurious correlations (2006) ioport
  13. Scheid, Stefanie; Spang, Rainer: Permutation filtering: a novel concept for significance analysis of large-scale genomic data (2006)
  14. Schimek, Michael G.; Pavlík, Tomáš: Estimation procedures for the false discovery rate: a systematic comparison for microarray data (2006)
  15. Song, Peter X.-K.; Gao, Xin; Liu, Rui; Le, Wen: Nonparametric inference for local extrema with application to oligonucleotide microarray data in yeast genome (2006)
  16. Gentleman, Robert (ed.); Carey, Vincent J. (ed.); Huber, Wolfgang (ed.); Irizarry, Rafael A. (ed.); Dudoit, Sandrine (ed.): Bioinformatics and computational biology solutions using R and Bioconductor. (2005)
  17. Hornik, Kurt; Leisch, Friederich: R Version 2.1.0 (2005)
  18. Drăghici, Sorin: Statistics and data analysis for microarrays using R and Bioconductor. With CD-ROM. (2004)
  19. Gentleman, Robert: Using GO for statistical analyses (2004)
  20. Wu, Zhijin; Irizarry, Rafael A.; Gentleman, Robert; Martinez-Murillo, Francisco; Spencer, Forrest: A model-based background adjustment for oligonucleotide expression arrays (2004)

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