TheLab seek to understand the genetic factors contributing to genomic variation and phenotypic diversity. To this end, we employ molecular and bioinformatic tools to study evolutionary processes at the level of populations, both experimental and...
Research Scientist/Project Associate/Project Assistant Jobs opportunity in Indian Institute of Technology Madras (IIT Madras)
Research Scientist
Qualification : Ph.D in any branch of life science or bioinformatics or computational biology...
Research Fellow Bioinformatics
Eligibility : MSc(Bio-Chemistry, Bio-Informatics, Bio-Tech)
Location : Ajmer
Last Date : 13 Feb 2016
Hiring Process : Face to Face Interview
Central University of Rajasthan
Research Fellow Job vacancies in...
Research Fellow Bioinformatics
Eligibility : MSc(Bio-Chemistry, Bio-Informatics, Bio-Tech)
Location : Ajmer
Last Date : 13 Feb 2016
Hiring Process : Face to Face Interview
Central University of Rajasthan
Research Fellow Job vacancies...
cbio.ensmp.fr - Although centromeres are essential for life and are the subject of extensive research, centromere locations in yeast genomes are difficult to infer, and in most species they are still unknown. Recently, the chromatin conformation assay Hi-C has been...
We are generally interested in the mechanisms of species origin from a molecular and ecological perspective. Particularly, we are interested in the role of sex chromosomes in speciation. Most of our research is done on birds and mammals. Currently,...
elp.ucdavis.edu - Generic Genome Browser Version 2: A Tutorial for Administrators
This is an extensive tutorial to take you through the main features and gotchas of configuring GBrowse as a server. This tutorial assumes that you have successfully set up Perl, GD,...
catchenlab.life.illinois.edu - Stacks is a software pipeline for building loci from short-read sequences, such as those generated on the Illumina platform. Stacks was developed to work with restriction enzyme-based data, such as RAD-seq, for the purpose of building genetic maps...
scikit-learn.org - Machine Learning in Python
Simple and efficient tools for data mining and data analysis Accessible to everybody, and reusable in various contexts Built on NumPy, SciPy, and matplotlib Open source, commercially usable - BSD license
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