NATIONAL INSTITUTE OF IMMUNOLOGY
NEW DELHI-110067
Applications are invited for the position of Research Associate (RA) for the following time-bound sponsored project as per the details given below:
1. BTIS project entitled, “National...
Science for Life Laboratory (SciLifeLab) is a national center for molecular biosciences with focus on health and environmental research. The center combines frontline technical expertise with advanced knowledge of translational medicine and...
Bioinformatics, in the UFR in Artificial Intelligence and Bioinformatics, deals with the management, the analysis, the modelling and the visualization of biological databases. Since the size of the databases is often exponential, the traditional...
The focus of the bioinformatics group is to use computational approaches to gain an insight into genome evolution in primates.
http://www.eva.mpg.de/genetics/bioinformatics/overview.html?Fsize=0%2C%20%40%2F%27
Kelso Group
Department of...
This is a comprehensive guide to prepare for your next coding interview. It's great for recent graduates and has questions and practice materials structured from traditional big tech interview formats.While it does not include the latest...
A while ago we posted a request for online resources on must-read papers in evolutionary biology, for a literature club. We received many answers in the meantime
bioinformatics-core-shared-training.github.io - One of the best tutorial for beginners ...
https://bioinformatics-core-shared-training.github.io/cruk-summer-school-2017/Day1/Session4-seqIntro.html
carpentries-incubator.github.io - A lesson introducing the Snakemake workflow system for bioinformatics analysis.
Prerequisites
This is an intermediate lesson and assumes learners have already done some bioinformatics:
Familiarity with the BASH command shell, including...
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/