BOL

Bioinformatics-Multi_Omics_Integration https://www.researchgate.net/job/939073_Senior_Scientist_Bioinformatics-Multi_Omics_Integration Senior_Scientist_Bioinformatics-Transcriptomics_Analysis...

cloud.google.com - Explore genetic variation interactively. Compare entire cohorts in seconds with SQL-like queries. Compute transition/transversion ratios, genome-wide association, allelic frequency and more. Process big genomic data easily. Run batch analyses...

http://www.rstudio.com/ - RStudio IDE is a powerful and productive user interface for R. It’s free and open source, and works great on Windows, Mac, and Linux. The developers and expert trainers are the authors of several popular R packages, including ggplot2, plyr,...

www.stackage.org - The Bio.SeqLoc modules in seqloc are designed to represent positions and locations (ranges of positions) on sequences, particularly nucleotide sequences. My original motivation for writing these packages was handing the locations of genes in...

bioconductor.org - Overlapping gene lists can reveal biological meanings and may lead to novel hypotheses. For example, histone modification is an important cellular mechanism that can pack and re-pack chromatin. By making the chromatin structure more dense or loose,...

An R tutorial for Microsoft Excel users

R is a functional based language, the inputs to a function, including options, are in brackets. Note that all dat and options are separated by a comma Function(data, options) Even quit is a function q() So is...

Our research group is primarily focused on the analysis of whole genome sequence data to identify genetic variation (primarily structural variation) and examine their potential functional impact in disease phenotypes. We are particularly interested...

Integrated solutions * CLCbio Genomics Workbench - de novo and reference assembly of Sanger, Roche FLX, Illumina, Helicos, and SOLiD data. Commercial next-gen-seq software that extends the CLCbio Main Workbench software. Includes SNP detection,...

Raphael Lab research is focused on Bioinformatics and Computational Biology. Current research interests include next-generation DNA sequencing, structural variation, genome rearrangements in cancer and evolution, and network analysis of somatic...