BOL

biokit.readthedocs.io - BioKit is a set of tools dedicated to bioinformatics, data visualisation (biokit.viz), access to online biological data (e.g. UniProt, NCBI thanks to bioservices). It also contains more advanced tools related to data analysis...

No of vacancies: 01 Pay scale: Pay Band of Rs. 37400-67000 with AGP of Rs. 9000. i. Educational Qualification: Good academic record with a Ph.D. Degree in the concerned/allied/relevant disciplines. ii. A Master's Degree with at least 55%...

webs.iiitd.edu.in - Aim of this web site is to facilitate the scientific community to fight against severe pandemic disease COVID-19 caused by SARS-CoV-2. Here, We have collected and organized information related to novel strain of coronavirus, i.e. SARS-CoV-2.and its...

See an organised list of all the animations: http://doctorprodigious.wordpress.com/hd-animations/

Useful resources to therapy, disease, drug and drug-target network data

Applications are invited from highly motivated students (UGC-CSIR-JRF) with a background in Genomics/ Biotechnology/ Molecular Microbiology/ Biochemistry and Bioinformatics to pursue research leading to Ph.D. in the following areas; 1. Cancer...

Biologists estimate that there are about 5 to 100 million species of organisms living on Earth today. Evidence from morphological, biochemical, and gene sequence data suggests that all organisms on Earth are genetically related, and the genealogical...

www.codeschool.com - Collections of Ruby and BioRuby learning materials. BioRuby paper link : http://bioinformatics.oxfordjournals.org/content/26/20/2617.abstract

NATIONAL INSTITUTE OF IMMUNOLOGY, NEW DELHI-110067 Applications are invited for the position of Senior Research Fellow for the following time-bound sponsored project as per the details given below: 1. BTIS project on, “Bioinformatics...

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/