This tutorial is intended to introduce users quickly to the basics of R, focusing on a few common tasks that biologists need to perform some basic analysis: load a table, plot some graphs, and perform some basic statistics. More...
github.com - A comparative genome scaffolding tool based on MUMmer
mScaffolder scaffolds a genome using an existing high quality genome as the reference. It aligns the two genomes using nucmer utility from MUMmer and then orders and orients the contigs of the...
The institute has evolved over the years into a multi-disciplinary research organization with stress on fundamental research in its pursuit of advancement of knowledge in Science and technology and at the same time developing highly competent and...
www.bioinformatics.babraham.ac.uk - SeqMonk is a program to enable the visualisation and analysis of mapped sequence data. It was written for use with mapped next generation sequence data but can in theory be used for any dataset which can be expressed as a series of genomic...
F. No.: 2-19/2011-Adm.I
Research Associate Biotechnology /JRF / Lab. Assistant recruitment in Indian Institute of Vegetable Research
Project:
Genomics assisted selection of Solanum chilense introgression lines for enhancing drought...
ICAR-NATIONAL BUREAU OF ANIMAL GENETIC RESOURCES
Near Basant Vihar G.T. Road Bypass P.O. Box No.129,
Karnal-132001 (Haryana)
A walk-in-Interview is proposed to be held at National Bureau of Animal Genetic Resources, Karnal (Haryana)-132001 at...
amos.sourceforge.net - Genome sequencing remains an inexact science, and genome sequences can contain significant errors if they are not carefully examined. Hawkeye is our new visual analytics tool for genome assemblies, designed to aid in identifying and correcting...
Pay Scale:Rs.24000+ 30% HRA) for Ph.D. and for M. Sc Rs.23000/‐ (+ 30% HRA)
Educational Requirements:Ph.D. Degree in Bioinformatics/Molecular Biology/Biotechnology/ Genetics/allied sciences; or M. Sc in Bioinformatics/ Biotechnology/Life Sciences/...
github.com - It is designed to work with patterned data. Famous examples of problems related to patterned data are:
recovering signals in networks after a stimulation (cascade network reverse engineering),
analysing periodic signals.