github.com - rHAT is a seed-and-extension-based noisy long read alignment tool. It is suitable for aligning 3rd generation sequencing reads which are in large read length with relatively high error rate, especially Pacbio's Single Molecule Read-time (SMRT)...
github.com - The ability to generate massive amounts of sequencing data continues to overwhelm the processing capacity of existing algorithms and compute infrastructures. In this work, we explore the use of hardware/software co-design and hardware acceleration...
sfg.stanford.edu - This website and accompaning documents are intended as a tool to help researchers dealing with non-model organisms acquire and process transcriptomic high-throughput sequencing data without having to learn extensive bioinformatics skills. It covers...
mulan.dcode.org - Mulan performs multiple (2 or more) sequence alignments with an efficient and rapid "full local" alignment strategy that ensures a recapitulation of evolutionary sequence rearrangements (such as inversions and reshuffling) in any of the species. It...
www.atgc-montpellier.fr - LoRDEC is a program to correct sequencing errors in long reads from 3rd generation sequencing with high error rate, and is especially intended for PacBio reads. It uses a hybrid strategy, meaning that it uses two sets of reads: the reference read...
pbil.univ-lyon1.fr - DeCoSTAR is a software which aims at reconstructing ancestral gene or genome organizations, in the form of sets of neighborhood relations -adjacencies- between pairs of ancestral genes or gene domains.Ancestral genes or domains are deduced from...
School of Computational & Integrative Sciences
Jawaharlal Nehru University
New Delhi-110067, INDIA
Date: April 24th. 2017 Last Date: May 6th 2017
PROJECT ID: 632
The following posts are urgently required to be filled for the Department...
Pattern recognition and computational biology
MEME Suite software development; gene expression; mathematical modelling; gene regulation and transcription
Specialization:
Pattern recognition and modelling in computational biology
Link @...