bitbucket.org - Destruct is a tool for joint prediction of rearrangement breakpoints from single or multiple tumour samples.
More at https://bitbucket.org/dranew/destruct
www.stats.ox.ac.uk - Pattern searching holds much importance for biologists , for the understanding of DNA ( and its functionality) can be more than a matter of satisfying curiosity , but also give answers to many issuess uchas medical conditions . However,there are a...
Jhpiego is a non-profit global health leader and Johns Hopkins University affiliate that is saving lives, improving health, and transforming futures. We partner with governments, health experts, and local communities to build the skills and systems...
easyfig.sourceforge.net - Easyfig has moved to github, for newer releases of Easyfig please visit our new webpage - https://mjsull.github.io/Easyfig. Easyfig is a Python application for creating linear comparison figures of multiple genomic loci with an easy-to-use...
Research Fellow Bioinformatics
Eligibility : BSc(Bio-Tech), MSc(Bio-Tech)
Location : Ludhiana
Last Date : 19 Apr 2016
Hiring Process : Walk - In
Punjab Agricultural University
Research Fellow Bioinformatics job opportunities in Punjab...
bioen-compbio.bioen.illinois.edu - Rreference-Assisted Chromosome Assembly (RACA), an algorithm to reliably order and orient sequence scaffolds generated by NGS and assemblers into longer chromosomal fragments using comparative genome information and paired-end...
genomebiology.biomedcentral.com - REAPR is a tool that evaluates the accuracy of a genome assembly using mapped paired end reads, without the use of a reference genome for comparison. It can be used in any stage of an assembly pipeline to automatically break incorrect scaffolds and...
Evolutionary Dynamics and Population Genetics
Natural selection and other evolutionary forces lead to particular patterns of evolutionary dynamics, and they leave characteristic signatures on the genetic variation within populations. We use a...
sc932.github.io - Assembly Likelihood Evaluation (ALE) framework that overcomes these limitations, systematically evaluating the accuracy of an assembly in a reference-independent manner using rigorous statistical methods. This framework is comprehensive, and...