www.ncbi.nlm.nih.gov - Entrez Direct (EDirect) is an advanced method for accessing the NCBI's suite of interconnected databases (publication, sequence, structure, gene, variation, expression, etc.) from a UNIX terminal window. Functions take search terms from command-line...
www.cog-genomics.org - This is a comprehensive update to Shaun Purcell's PLINK command-line program, developed by Christopher Chang with support from the NIH-NIDDK's Laboratory of Biological Modeling, the Purcell Lab at Mount Sinai...
Walk in interview at 10.30 am on Nov 11th, 2016 for the following position at Distributed Information Sub-Centre (DISC) established by Dept. Of Biotechnology, Govt. of India at Indian Institute of Advanced Research, Gandhinagar, Gujarat
Position...
www.khanacademy.org - Topics
Displaying and describing data
Modeling distributions of data
Describing relationships in quantitative data
Designing studies
Probability
Random variables
Sampling distributions
Confidence intervals (one sample)
Significance tests...
onlinecourses.science.psu.edu - One of our primary focuses will be to develop an understanding of the various ways in which we can assign a probability to some chance event. We'll also learn the fundamental properties of probability, investigate how probability behaves,...
National Tea Research Foundation (NTRF) a registered body, requires qualified and experienced agricultural research scientist for contractual appointment as per details below :
Post Research Officer, NTRF, Kolkata
Essential Post Graduate...
www.broadinstitute.org - Spines is a collection of software tools, developed and used by the Vertebrate Genome Biology Group at the Broad Institute. It provides basic data structures for efficient data manipulation (mostly genomic sequences, alignments, variation...
www.csd.uwo.ca - E-MEM is a C++/OpenMP program designed to efficiently compute MEMs between large genomes. See the README file for instructions on how to use E-MEM. E-MEM source code
The source code can be downloaded here. If you use E-MEM, please...
sco.h-its.org - PEAR is an ultrafast, memory-efficient and highly accurate pair-end read merger. It is fully parallelized and can run with as low as just a few kilobytes of memory.
PEAR evaluates all possible paired-end read overlaps and without requiring the...