Work

Analyzing ChIP-chip Data Using Bioconductor

Year: 2008

Type: article

Abstract: with Bioconductor. Among the packages used are Ringo [5], biomaRt [11], and topGO [12]. We wrote this document in the Sweave [13] format, which combines explanatory text and the actual R source code used in this analysis [14]. Thus, the analysis can be reproduced by the reader. An R package ccTutorial that contains the data, the text, and code presented here, and supplementary text and code, is available from the Bioconductor Web site.

Source: PLoS Computational Biology

DOI: 10.1371/journal.pcbi.1000227

Authors: Joern Toedling, Wolfgang Huber

Institutions: European Bioinformatics Institute, Wellcome Trust

Language: English

Topic: Genomics and Chromatin Dynamics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: gold

Estimated APC paid: $3,043

Funder: European Commission