The laboratory works on genome sequencing, immunoproteogenomics, antibiotics sequencing, and comparative genomics - computational technologies that enabled new applications and allowed scientists to attack biological problems that remained beyond...
Computational Biology in the 21st Century: Making Sense out of Massive Data
Air date: Wednesday, February 01, 2012, 3:00:00 PM
Category: Wednesday Afternoon Lectures
Description: The last two decades have seen an exponential increase...
binc.scisjnu.ernet.in - BINC (BioInformatics National Certification) is an initiative of Department of Biotechnology(DBT), Government Of India in coordination with Bioinformatics Center, University of Pune. The objective of the examination is to recognize trained manpower...
sourceforge.net - Opera (Optimal Paired-End Read Assembler) is a sequence assembly program (http://en.wikipedia.org/wiki/Sequence_assembly ). It uses information from paired-end or long reads to optimally order and orient contigs assembled from...
Global overview papers
Next generation quantitative genetics in plants. Jiménez-Gómez, Frontiers in Plant Science 2:77, 2011 Full Text [equally relevant to animal and microbial systems]
Sense from sequence reads: methods for...
rrwick.github.io - Bandage (a Bioinformatics Application for Navigating De novo Assembly Graphs Easily) is a tool for visualizing assembly graphs with connections. Users can zoom in to specific areas of the graph and interact with it by moving nodes,...
www.rdatamining.com - This website presents examples, documents and resources on data mining with R. Documents on using R for data mining are available to download for non-commercial personal use, including R Reference card for Data Mining, R and Data Mining:...
github.com - Mash is normally distributed as a dependency-free binary for Linux or OSX (see https://github.com/marbl/Mash/releases). This source distribution is intended for other operating systems or for development. Mash requires c++11 to build, which is...
Awk is a programming language that is specifically designed for quickly manipulating space delimited data. Although you can achieve all its functionality with Perl, awk is simpler in many practical cases.
Why awk? You can replace a pipeline...