Bioinformatics

Identification, annotation and visualisation of extreme changes in splicing from RNA-seq experiments with SwitchSeq
Mar Gonzàlez-Porta, Alvis Brazma

bioRxiv 005967; doi: https://doi.org/10.1101/005967 New Results
iRAP - an integrated RNA-seq Analysis Pipeline
Nuno A. Fonseca, Robert Petryszak, John C. Marioni, Alvis Brazma

bioRxiv 005991; doi: https://doi.org/10.1101/005991 New Results
Significantly distinct branches of hierarchical trees: A framework for statistical analysis and applications to biological data
Guoli Sun, Alexander Krasnitz

bioRxiv 002188; doi: https://doi.org/10.1101/002188 New Results
Simultaneous estimation of transcript abundances and transcript specific fragment distributions of RNA-Seq data with the Mix² model
Andreas Tuerk, Gregor Wiktorin

bioRxiv 005918; doi: https://doi.org/10.1101/005918 New Results
Exploring community structure in biological networks with random graphs
Pratha Sah, Lisa O. Singh, Aaron Clauset, Shweta Bansal

bioRxiv 001545; doi: https://doi.org/10.1101/001545 New Results
A comparative study of techniques for differential expression analysis on RNA-Seq data
Zong Hong Zhang, Dhanisha J. Jhaveri, Vikki M. Marshall, Denis C. Bauer, Janette Edson, Ramesh K. Narayanan, Gregory J. Robinson, Andreas E. Lundberg, Perry F. Bartlett, Naomi R. Wray, Qiong-Yi Zhao

bioRxiv 005611; doi: https://doi.org/10.1101/005611 New Results
Inference of phenotype-defining functional modules of protein families for microbial plant biomass degraders
S. G. A. Konietzny, P. B. Pope, A. Weimann, A. C. McHardy

bioRxiv 005355; doi: https://doi.org/10.1101/005355 New Results
READemption – A tool for the computational analysis of deep-sequencing-based transcriptome data
Konrad U. Förstner, Jörg Vogel, Cynthia M. Sharma

bioRxiv 003723; doi: https://doi.org/10.1101/003723 New Results
SraTailor: GUI software for visualizing high-throughput sequence read archives
Shinya Oki, Kazumitsu Maehara, Yasuyuki Ohkawa, Chikara Meno

bioRxiv 005231; doi: https://doi.org/10.1101/005231 New Results
A new insight for the screening of potential β-lactamase inhibitors
Vijai Singh, Dharmendra Kumar Chaudhary

bioRxiv 005181; doi: https://doi.org/10.1101/005181 New Results

Bioinformatics

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