BOL

www.biotnet.org - A quickstart tutorial that allows to become familiar with the Python language. The exercises expect knowledge of basic concepts of programming. A group of 2nd year computer science students with no previous Python knowledge required 60'-90' to...

Kindly look into following webpage: http://medhealth.leeds.ac.uk/info/1450/scholarships/1795/marie_curie_phd_training_network The closing date for application will be 26 June 2015.

Positions Open For Temporary Research Project Posts for CSIR Project, Delhi CSIR is looking for bright young candidates to get involved in building algorithms and platforms for large biological data analyses in the areas of comparative genomics,...

A motivation letter, or sometimes called letter of motivation or motivational letter, is actually a letter being send together with your professional resume to support your application for job, University admission or internship.

www.cybertory.org - Abstract This project presents demonstrations of selected computer science algorithms important in bioinformatics, implemented in the spreadsheet program Microsoft Excel. Spreadsheets provide an interesting platform for demonstration of...

Lab of Dr. Rawal is supported by generous grants to build advanced applications in emerging areas of cancer genomics, network sciences, vaccine development and epidemiology. The lab has dedicated high end Xeon servers, desktops, & laptops for...

4273π, an operating system image for Raspberry Pi based on Raspbian Linux

We are the Statistical Bioinformatics group in the Institute for Adaptive and Neural Computation in the School of Informatics at the University of Edinburgh. The group is led by Dr. Ian Simpson who is a Lecturer in Biological Informatics in the...

bioconda.github.io - Snakemake is a workflow engine that provides a readable Python-based workflow definition language and a powerful execution environment that scales from single-core workstations to compute clusters without modifying the workflow. 

Learn about bioinformatics online by watching videos, reading engaging articles and practicing bioinformatics skills using public domain datasets.