BOL

github.com - TMAP - torrent mapping alignment program General Notes TMAP is a fast and accurate alignment software for short and long nucleotide sequences produced by next-generation sequencing technologies. The latest TMAP is unsupported. To use a...

Our research aims to better understand how living systems respond to chemical agents. A key aspect of our approach involves using computational frameworks that are powered by formal (i.e. machine understandable) semantics to make effectively use of...

wgs-assembler.sourceforge.net - These are release notes for Celera Assembler version 8.3rc2, which was released on May 24, 2015.This distribution package provides a stable, tested, documented version of the software.  The distribution is usable on most Unix-like platforms,...

denbi-metagenomics-workshop.readthedocs.io - Welcome to the one-day metagenomics assembly workshop. This tutorial will guide you through the typical steps of metagenome assembly and binning. The Tutorial Data Set FastQC Quality Control Assembly Velvet Assembly MEGAHIT...

This Bioinformatics Resource (Virology.ca, the Canadian half of the now defunct VBRC) focuses on large DNA viruses: Poxviruses African Swine Fever Viruses Iridoviruses Baculoviruses Research Area Custom searches of the viral...

en.wikipedia.org - FASTQ format is a text-based format for storing both a biological sequence (usually nucleotide sequence) and its corresponding quality scores. Both the sequence letter and quality score are each encoded with a...

samtools.sourceforge.net - In current genome era, our day to day work is to handle the huge geneome sequences, expression data, several other datasets. This link provide a comprehensive list of commonly used sofware/tools.

bioinformatics.uconn.edu - This tutorial will serve as an example of how to use free and open-source genome assembly and secondary scaffolding tools to generate high quality assemblies of bacterial sequence data. The bacterial sample used in this tutorial will be...

Basics of computational proteomics

github.com - Barrnap predicts the location of ribosomal RNA genes in genomes. It supports bacteria (5S,23S,16S), archaea (5S,5.8S,23S,16S), mitochondria (12S,16S) and eukaryotes (5S,5.8S,28S,18S). It takes FASTA DNA sequence as input, and write GFF3 as output....