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A selection of new content on F1000Research from the past week. To receive notification of all new articles, sign up for our table of contents alerts.

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Bioconductor is an open-source, open-development software project for the analysis and comprehension of high-throughput data in biology. Its aim is to enable interdisciplinary research through collaborative and rapid development of scientific software. The programming and packaging of software is based on the R environment for data analysis.
The Bioconductor channel, with guest editors Vincent Carey, Wolfgang Huber, Sean Davis, Martin Morgan, and Kasper Daniel Hansen, is now open to submissions of cross-package Bioconductor workflows that guide users through common and important tasks in multi-omic data analysis and integrative bioinformatics..

Articles that recently passed peer review
Combining complexity measures of EEG data: multiplying measures reveal previously hidden information [version 1; referees: 2 approved]
Thomas Burns, Ramesh Rajan

Murine Cep290 phenotypes are modified by genetic backgrounds and provide an impetus for investigating disease modifier alleles [version 1; referees: 2 approved]
Simon Ramsbottom, Colin Miles, John Sayer

NetMatchStar: an enhanced Cytoscape network querying app [version 1; referees: 2 approved]
Fabio Rinnone, Giovanni Micale, Vincenzo Bonnici, Gary D. Bader, Dennis Shasha, Alfredo Ferro, Alfredo Pulvirenti, Rosalba Giugno

New poster
The adolescent feline faecal microbiome: a longitudinal study into the effects of age, gender and neutering
Oliver Deusch
Presented at: Genome Science 2015
Part of the Genome Science UK: Biology, Applications and Technology channel