BOL

Short-term training/Final year dissertation project Candidates desirous of doing a short-term training / final year dissertation project for MSc (Life Sciences/Bioinformatics/Biotechnology or any science discipline) at UIAR Biophysics and...

Clinical Development Services Agency (CDSA) is an extramural unit of Translational Health Science and Technology Institute (THSTI), Department of Biotechnology, Ministry of Science & Technology, Government of India. CDSA has a national mandate...

http://docs.bpipe.org/ - Bpipe provides a platform for running big bioinformatics jobs that consist of a series of processing stages - known as 'pipelines'. January 20th, 2016 - New! Bpipe 0.9.9 released! Download latest, all Documentation Mailing List (Google...

liulab-dfci.github.io - This is the course material for STAT115/215 BIO/BST282 at Harvard University. Xiaole Shirley Liu (lead instructor)Joshua StarmerMartin HembergTing WangFeng Yue Ming TangYang LiuJack KangScarlett GeJiazhen RongPhillip NicolMaartin De Vries We...

International Livestock Research Institute (ILRI): Under   a   NEPAD   initiative,   the   Biosciences   Eastern   and   Central   Africa ...

Frederick National Laboratory seeking an enthusiastic, creative, and seasoned bioinformatics professional to join our leadership team and direct the exceptional Bioinformatics Group at the Cancer Genomics Research Laboratory (CGR). CGR has a...

github.com - Useful list of bioinformatics training collections @ https://github.com/sib-swiss/training-collection

Awk is a programming language which allows easy manipulation of structured data and is mostly used for pattern scanning and processing. It searches one or more files to see if they contain lines that match with the specified patterns and then...

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

www.r2d3.us - In machine learning, computers apply statistical learning techniques to automatically identify patterns in data. These techniques can be used to make highly accurate predictions. More at http://www.r2d3.us/visual-intro-to-machine-learning-part-1/