github.com - GAM-NGS is a tool able to merge two or more assemblies in order to improve contiguity and correctness. It can be used on all NGS-based assembly projects and it shows its full potential with multi-library Illumina-based projects. With more than 20...
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 - BEDOPS v2.4.26 is a suite of tools to address common questions raised in genomic studies — mostly with regard to overlap and proximity relationships between data sets. It aims to be scalable and flexible, facilitating the efficient and...
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...
github.com - Mix is a tool that combines two or more draft assemblies, without relying on a reference genome and has the goal to reduce contig fragmentation and thus speed-up genome finishing. The proposed algorithm builds an extension graph where vertices...
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...
github.com - HALC, a high throughput algorithm for long read error correction. HALC aligns the long reads to short read contigs from the same species with a relatively low identity requirement so that a long read region can be aligned to at least one contig...
github.com - KAT is a suite of tools that analyse jellyfish hashes or sequence files (fasta or fastq) using kmer counts. The following tools are currently available in KAT:
hist: Create an histogram of k-mer occurrences from a sequence file. Adds metadata 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.