Abstract

Bioconductor ( bioconductor.org) is a rich source of software and know-how for the integrative analysis of genomic data. The Bioconductor channel in F1000Research provides a forum fortask-oriented workflows that each cover a solution to a current, important problem in genome-scale data analysis from end to end, invoking resources from several packages by different authors, often combining multiple `omics data types, and demonstrating integrative analysis and modelling techniques.

Highlights

  • This article is an Editorial and has not been subject to external peer review

  • Editorial Bioinformatics is a wonderful field, since so many of the researchers who develop new concepts, methods and tools have embraced the sharing of their research outputs as free, open-source software

  • We hope that the workflows will make it easier for new and existing users to navigate the offerings of R and Bioconductor, to adapt workflows to their needs, and to rapidly find solutions for their problems

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Summary

Introduction

This article is an Editorial and has not been subject to external peer review. Any comments on the article can be found at the end of the article. This article is an Editorial and has not been subject to external peer review. This article is included in the Bioconductor gateway.

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