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deltarho.org - Trelliscope provides a way to flexibly visualize large, complex data in great detail from within the R statistical programming environment. Trelliscope is a component in the DeltaRho environment. For those familiar with Trellis...

PhD opportunity at Université de Liège - Belgium The Bioinformatics and Systems Biology Unit of Université de Liège (Belgium) is looking for a highly motivated master student with programming skills for a PhD thesis project (4 years, fully...

github.com - RAINBOWR(Reliable Association INference By Optimizing Weights with R) is a package to perform several types of GWAS as follows. Single-SNP GWAS with RGWAS.normal function SNP-set (or gene set) GWAS with RGWAS.multisnp function (which tests...

bioinformatics.oxfordjournals.org - An ultra–high-performance protein–protein docking software for heterogeneous supercomputers Summary: The application of protein–protein docking in large-scale interactome analysis is a major challenge in structural bioinformatics...

www.phytools.org - R phylogenetics is built on the contributed packages for phylogenetics in R, and there are many such packages. Let's begin today by installing a few critical packages, such as ape, phangorn, phytools, and geiger. To get the most recent CRAN version...

www.modernstatisticswithr.com - This is the online version of the second edition of Modern Statistics with R. It is free to use, and always will be. Printed copies are available from CRC Press. Live online courses on statistics with R based on this book,...

pybedtools is a Python wrapper for Aaron Quinlan's BEDtools programs

chagall.med.cornell.edu - Institute of computational biomedicine, Cornell University provide an NGS workshop tutorial at http://chagall.med.cornell.edu/NGScourse/  You can also add your favourite NGS educational material, or workshop tutorial by commenting on this...

Research in our group focuses on the investigation of the signals involved in gene specification in genomic sequences (promoter elements, splice sites, translation initiation sites, etc…). We are interested both in the mechanism of their recognition...

www.r2d3.us - In machine learning, computers apply statistical learning techniques to automatically identify patterns in data. These techniques can be used to make highly accurate predictions. More at http://www.r2d3.us/visual-intro-to-machine-learning-part-1/