BOL

Dr Altan Kara is a Bioinformatics specialist at the faculty of Gene Engineering and Biotechnology Institute at TUBITAK MAM Research Center.

The School of Biotechnology offers a curriculum that reflects the multidisciplinary nature of Biotechnology, integrating theoretical and applied science in undergraduate and graduate courses. The school has six departments with about 300 employees,...

http://readiab.org/ - IAB is primarily being developed by Greg Caporaso(GitHub/Twitter: @gregcaporaso) in the Caporaso Lab at Northern Arizona University. You can find information on the courses I teach on my teaching website and...

scilifelab.github.io - SciLifeLab is a national center for molecular biosciences with focus on health and environmental research. Courses Old courses (2012-2014) Metagenomics Workshop 2015 November - Uppsala2016 November - Uppsala2017 November - Uppsala Introduction...

lindenb.github.io - Collection of Java tool kits for bioinformatics works: Jvarkit : Java utilities for Bioinformatics

www.rdatamining.com - This website presents examples, documents and resources on data mining with R. Documents on using R for data mining are available to download for non-commercial personal use, including R Reference card for Data Mining, R and Data Mining:...

  Awk is a programming language that is specifically designed for quickly manipulating space delimited data. Although you can achieve all its functionality with Perl, awk is simpler in many practical cases. Why awk? You can replace a pipeline...

National Institute for Research in Reproductive Health (Indian Council of Medical Research ) Jehangir Merwanji Street, Parel, Mumbai 400 012 Advertisement No. 1/NIRRH/Ph.D. 2013 Admission to Ph.D. Programme – 2013 National Institute for...

RASA conducts comprehensive Life Science skill development training courses in Pune, India for working professionals, researchers, students and job-seeker. The trainings are crafted meticulously, covering different modules of courses such as...

homes.sice.indiana.edu - Machine learning techniques have been successful in analyzing biological data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. In this class, we will learn basics about probabilistic models...