BOL

molbiol-tools.ca - Collections of few handy tools for bioinformatician http://molbiol-tools.ca/Convert.htm

www.homolog.us - These tutorials are written for hundreds of bioinformaticians trying to cope with large volume of next-generation sequencing (NGS) data. NGS technologies brought a dramatic shift in the world of sequencing. Merely five years back, genome sequencing...

gage.cbcb.umd.edu - GAGE is an evaluation of the very latest large-scale genome assembly algorithms. We have organized this "bake-off" as an attempt to produce a realistic assessment of genome assembly software in a rapidly changing field of next-generation sequencing....

www.cbcb.umd.edu - Metagenomics sequencing projects collect samples of DNA from uncharacterized environments that may contain hundreds or even thousands of species. One of the main challenges in analyzing a metagenome is phylogenetic classification of raw sequence...

www.sbgenomics.com - Seven Bridges is the biomedical data analysis company accelerating breakthroughs in genomics research for cancer, drug development and precision medicine. We build self-improving systems to analyze millions of genomes, including the Graph...

rgraphgallery.blogspot.be - The blog is a collection of script examples with example data and output plots. R produce excellent quality graphs for data analysis, science and business presentation, publications and other purposes. Self-help codes and examples are provided....

www.khanacademy.org - Topics Displaying and describing data Modeling distributions of data Describing relationships in quantitative data Designing studies Probability Random variables Sampling distributions Confidence intervals (one sample) Significance tests...

www.ncbi.nlm.nih.gov - Background. Next-generation sequencing technologies are now producing multiple times the genome size in total reads from a single experiment. This is enough information to reconstruct at least some of the differences between the individual genome...

journal.embnet.org - Next Generation Sequencing has totally changed genomics: we are able to produce huge amounts of data at an incredibly low cost compared to Sanger sequencing. Despite this, some old problems have become even more difficult, de novo assembly being on...

github.com - Requirements: velvet (velveth velvetg should be in your PATH) R (with Sweave) pdflatex (usually part of TeTeX) ggplot2 (from R prompt type install.packages("ggplot2","proto","xtable")) Perl Optional: BLAT or BLAST (to generate...