Internship Program for Bioinformatics / Biotechnology Professionals Currently we offer positions to outstanding students interested in Next Generation Sequencing (NGS) data analysis. Applications are accepted throughout the year. Accepted students...
RAST – Web tool (upload contigs), uses the subsystems in the SEED database and provides detailed annotation and pathway analysis. Takes several hours per genome but I think this is the best way to get a high quality annotation...
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...
github.com - GIGGLE is a genomics search engine that identifies and ranks the significance of genomic loci shared between query features and thousands of genome interval files. GIGGLE (https://github.com/ryanlayer/giggle) scales to billions of intervals and is...
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...
mummer4.github.io - MUMmer4, a substantially improved version of MUMmer that addresses genome size constraints by changing the 32-bit suffix tree data structure at the core of MUMmer to a 48-bit suffix array, and that offers improved speed through parallel processing...
www.h-invitational.jp - G-compass (http://www.h-invitational.jp/g-compass/) is a comparative genome browser. It visualizes evolutionarily conserved genomic regions between human and other 12 vertebrates based on original genome alignments pursuing higher coverage (1,2)....
sanger-pathogens.github.io - A tool to circularize genome assemblies. The algorithm and benchmarks are described in the Genome Biology manuscript.
Citation: "Circlator: automated circularization of genome assemblies using long sequencing reads", Hunt et al, Genome Biology...
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.