I have various permanent positions available based in London, Manchester, Herftfordshire, Oxford and Belfast, as well as other areas throughout the UK.
If you are looking for a new opportunity and have skills within any sector of Bioinformatics...
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...
academic.oup.com - Mobyle, to provide a flexible and usable Web environment for defining and running bioinformatics analyses. It embeds simple yet powerful data management features that allow the user to reproduce analyses and to combine tools using a hierarchical...
The IBL laboratory focuses on the multi-disciplinary analyses of the global responses of model microorganisms, cyanobacteria (mainly Synechocystis PCC6803) and yeasts (mainly Saccharomyces cerevisae) to environmental stresses triggered by oxidative...
http://scikit-bio.org/ - scikit-bio is currently in beta. We are very actively developing it, and backward-incompatible interface changes can and will arise. To avoid these types of changes being a surprise to our users, our public APIs are decorated to make it clear...
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...
They are based in the Department of Genetics at the University of Cambridge.
The research covers diverse areas of evolutionary biology, and molecular evolution in particular. It combines theoretical and empirical approaches, and particularly...
hub.docker.com - GPSRdocker (http://webs.iiitd.edu.in/gpsrdocker/) is Presently it contain software developed at G. P. S. Raghava's group (http://webs.iiitd.edu.in/raghava/ ).
The programs and the package are free software for academic users. Permission...
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.