BOL

www.topcoder.com - Learning greedy algo for biologist.  https://www.topcoder.com/community/data-science/data-science-tutorials/greedy-is-good/ This webpage is also useful for the...

github.com - pyScaf orders contigs from genome assemblies utilising several types of information: paired-end (PE) and/or mate-pair libraries (NGS-based mode) long reads (NGS-based mode) synteny to the genome of some related species (reference-based...

The genome assemblers generally take a file of short sequence reads and a file of quality-value as the input. Since the quality-value file for the high throughput short reads is usually highly memory-intensive, only a few assemblers, best suited for...

neufeldserver.uwaterloo.ca - PANDASEQ assembles paired-end Illumina reads into sequences, trying to correct for errors and uncalled bases. The assembler reads two files in FASTQ format with quality information. If amplification primers were used (e.g., to isolate a variable...

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.bcgsc.ca - This sockeye software uses the Ensembl database project to import sequence and annotation information from several eukaryotic species. A user can additionally import their own custom sequence and annotation data. Individual annotation objects...

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...

www.csd.uwo.ca - E-MEM is a C++/OpenMP program designed to efficiently compute MEMs between large genomes. See the README file for instructions on how to use E-MEM. E-MEM source code The source code can be downloaded here. If you use E-MEM, please...

sco.h-its.org - PEAR is an ultrafast, memory-efficient and highly accurate pair-end read merger. It is fully parallelized and can run with as low as just a few kilobytes of memory. PEAR evaluates all possible paired-end read overlaps and without requiring the...