BOL

Research Interest: Bioinformatics High-throughput and high-dimensional data analysis Microbiome data analysis (Main focus) Next-generation and third-generation sequencing data analysis for genomics Gene expression data...

INDIAN INSTITUTE OF SPICES RESEARCH (Indian Council of Agricultural Research) Marikunnu P.O., Kozhikode – 673 012, Kerala Phone No. 0495 2731 410 WALK -IN- TEST CUM INTERVIEW Walk- in- Test cum Interview (based on test) for the selection of...

www.biostarhandbook.com - Nice book collection for bioinformatician ... highly recommended.

Closing Date: 8 October 2013 Salary: £27,854 - £29,541, with progression to £36,298 You will perform cutting edge computational biology within the Faculty of Medical Sciences, with a particular focus on the Northern Institute for Cancer...

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...

Efflux pumps (RND family) Functioning of efflux systems in Gram-negative bacteria Determinants of the compound-efflux system interactions Action of inhibitors on efflux systems Structural and dynamical features of the efflux...

shendurelab.github.io - LACHESIS is method that exploits contact probability map data (e.g. from Hi-C) for chromosome-scale de novo genome assembly. Further information about LACHESIS, including source code, documentation and a user's guide are available...

Broad area of research: Genome Annotation and Functional Genomics Bergman Lab is actively engaged in the development and application of computational methods to improve the annotation of functional biological features in genome sequences....

gear.embl.de - The easiest way to get Alfred is to download a statically linked binary from the Alfred github release page. Alternatively, you can build Alfred from source. Alfred dependencies are included as submodules so you need to do a recursive...

Creators of software widely used in computational biology discuss the factors that contributed to their success