This book is a manifestation of my desire to teach researchers in biology a bit more about statistics than an ordinary introductory course covers and to introduce the utilization of R as a tool for analyzing their data. My goal is to reach those...
Senior Scientist Computational Biology
Level 13
₹ 1,66,378 (Consolidated)
01
(UR)
Ph.D. in the area of Computational Biology/Bioinformatics/Biotechnology/Life Sciences with at least 6 years of relevant experience.
OR
M. Tech with 8...
IMSc has a limited programme for highly motivated bachelors and masters students interested in research in the areas of Theoretical Physics, Mathematics, Theoretical Computer Science and Computational Biology to visit the Institute over their summer...
http://www.ibiology.org/ - "iBiology.org was developed to bring the best biology to people throughout the world for free. Started in 2006 by University of California – San Francisco and Howard Hughes Medical Institute investigator, Professor Ron Vale, iBiology has grown...
github.com - The package is open source and freely available at GitHub (https://github.com/biotite-dev/biotite). This package is simple to use especially for the beginners in programming and computationally efficient because of the implementation of Numpy and...
The goal of our research is to interpret and distill this complexity through accurate analysis and modeling of molecular pathways, particularly those in which malfunctions lead to the manifestation of disease. We are inventing integrative methods...
rosalind.info - Rosalind is a platform for learning bioinformatics and programming through problem solving. Take a tour to get the hang of how Rosalind works.
http://rosalind.info/problems/list-view/
www2.heatmapper.ca - Heatmapper is a freely available web server that allows users to interactively visualize their data in the form of heat maps through an easy-to-use graphical interface. Heatmapper is a versatile tool that allows users to easily create a wide variety...
www.coursera.org - Bioinformatics is developing very rapidly. With new tools and software it is, now a days, easy to analyse the large scale genomics datasets. But we need to understand the background of software/tool to better explain the data...