github.com - MECAT is an ultra-fast Mapping, Error Correction and de novo Assembly Tools for single molecula sequencing (SMRT) reads. MECAT employs novel alignment and error correction algorithms that are much more efficient than the state of art of aligners and...
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 - Manta calls structural variants (SVs) and indels from mapped paired-end sequencing reads. It is optimized for analysis of germline variation in small sets of individuals and somatic variation in tumor/normal sample pairs. Manta discovers, assembles...
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 - Filtering on quality and/or read length, and optional trimming after passing filters.Reads from stdin, writes to stdout.
Intended to be used:
directly after fastq extraction
prior to mapping
in a stream between extraction and...
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 - The NanoPack tools are written in Python3 and released under the GNU GPL3.0 License. The source code can be found at https://github.com/wdecoster/nanopack, together with links to separate scripts and their documentation. The scripts are...
www.fishbrowser.org - P_RNA_scaffolder is a novel scaffolding tool using Pair-end RNA-seq to scaffold genome fragments. The method is suitable for most genomes. The program could utilize Illumina Paired-end RNA-sequencing reads from target speciesies. Our method provides...
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.