BOL

github.com - The Gene NEighborhood Scoring Tool (G-NEST) combines genomic location, gene expression, and evolutionary sequence conservation data to score putative gene neighborhoods across all window sizes. Primary author of final code = William F. Martin....

github.com - Over the years most bioinformatics people amass a collection of small utility scripts which make their lives easier. Too often they are kept either in private repositories or as part of a public collection to which noone else can contribute. Biocode...

Only 4.4 percent DNA difference between Tiger and house cats

No of vacancies: 01 Pay scale: Pay Band of Rs. 37400-67000 with AGP of Rs. 9000. i. Educational Qualification: Good academic record with a Ph.D. Degree in the concerned/allied/relevant disciplines. ii. A Master's Degree with at least 55%...

github.com - With the EGAD (Extending ‘Guilt-by-Association’ by Degree) package, we present a series of highly efficient tools to calculate functional properties in networks based on the guilt-by-association principle. These allow rapid controlled...

See an organised list of all the animations: http://doctorprodigious.wordpress.com/hd-animations/

http://wilkox.org/gggenes - Install the stable version of gggenes from CRAN: install.packages("gggenes") If you want the development version, install it from GitHub: devtools::install_github("wilkox/gggenes") More at https://github.com/wilkox/gggenes

Applications are invited from highly motivated students (UGC-CSIR-JRF) with a background in Genomics/ Biotechnology/ Molecular Microbiology/ Biochemistry and Bioinformatics to pursue research leading to Ph.D. in the following areas; 1. Cancer...

github.com - MetaEuk is a modular toolkit designed for large-scale gene discovery and annotation in eukaryotic metagenomic contigs. Metaeuk combines the fast and sensitive homology search capabilities of MMseqs2 with a dynamic programming procedure to...

www.mrc-lmb.cam.ac.uk - This is about how to use a computer to find what is known about a gene of interest and also how to get new insights about it. The tutorial is divided in three main parts: In the Sequence part, you will see how to look efficiently for a...