BOL

Ineos Oxford Institute of Antimicrobial Research – Department of Biology – University of Oxford Our research centres on the use of genetics/genomics and phenotypic studies to address complex questions in the ecology, epidemiology and evolution of...

NATIONAL RESEARCH CENTRE ON PLANT BIOTECHNOLOGY New Delhi-110012 Walk in interview Eligible candidates may appear for Walk-in interview for the temporary positions of JRF/SRF/ RA, in ICAR, DBT funded research projects. Positions are purely...

Live Webinar on Streamlining large scale NGS data analysis using the Strand NGS Pipeline Manager on 24 Feb 2016 Abstract: Strand NGS includes comprehensive workflows for DNA-Seq, RNA-Seq, Small RNA-Seq, ChIP-Seq, MeDIP-Seq, and Methyl-Seq analysis....

Adv. No. F.TU/ACA/GT-APP/01/14 Date: 07.07.2014 Faculty of Science Essential Qualifications: (i) Good academic record having at least 55% marks (or an equivalent grade in a point scale wherever grading system is followed) at the Master’s...

Major web resources for cancer genomics research

A study led by University of Utah scientists is the first to find a genetic cause for the adaptation, a single DNA base pair change that dates back 8,000 years and demonstrate how it contributes to the Tibetans' ability to live in low oxygen...

sourceforge.net - GenoViz provides software applications and re-usable components for data visualization and data sharing in genomics. Our flagship product is Integrated Genome Browser (IGB).For more information about IGB, visit http://bioviz.org.Source code for...

Advt. No : ME-I/A-IV/03/14 No.of Posts:01 (SC) Pay Scale: Pay Band of Rs.15600-39100 + Rs.6000/- GP +NPA @ 25% of Basic Pay +Learning Resource Allowance @ Rs.20,000/-P.A.+ Conveyance Allowance @ Rs. 1650/-P.M.+ Academic Allowance @...

github.com - Library of usual classes and functions written in python and used in the Dyogen team for comparative genomics applications. Collaborative python library used in the DYOGEN teamfor studying the evolution of gene order in...

When you're just starting out with biological programming, it's easy to run into complex problems that make you wonder how anyone has ever managed to write a program.