BOL

The bioinformatics landscape for RNA sequence analysis is vast, with tools catering to specific needs. Whether you’re studying coding RNAs, non-coding RNAs, or exploring RNA-protein interactions, the right tools can transform your data into...

samtools.sourceforge.net - In current genome era, our day to day work is to handle the huge geneome sequences, expression data, several other datasets. This link provide a comprehensive list of commonly used sofware/tools.

List of bioinformatics tools/Software Website References for genome assembly:

Genome browsers are useful not only for showing final results but also for improving analysis protocols, testing data quality, and generating result drafts. Its integration in analysis pipelines allows the optimization of parameters, which...

http://orione.crs4.it/ - End-to-end NGS microbiology data analysis requires a diversity of tools covering bacterial resequencing, de novo assembly, scaffolding, bacterial RNA-Seq, gene annotation and metagenomics. However, the construction of computational pipelines that...

Scientist Positions Advt. No.RGCB Advt./SCI 2015/1 November 11, 2015 Rajiv Gandhi Centre for Biotechnology (RGCB) invites applications for the following three faculty scientist positions: Scientist E-II or F in Bioinformatics &...

www.yandell-lab.org - MAKER is a portable and easily configurable genome annotation pipeline.Its purpose is to allow smaller eukaryotic and prokaryotic genome projects to independently annotate their genomes and to create genome databases. MAKER identifies repeats,...

github.com - Convenient conversions between genome assemblie. The liftover package makes it easy to remap genomic coordinates to a different genome assembly. More at...

hgdownload.cse.ucsc.edu - This directory contains Genome Browser and Blat application binaries built for standalone command-line use on various supported Linux and UNIX platforms. To determine which set of binaries to download, type "uname -a" on the command line to display...

github.com - A curated list of awesome pipeline toolkits ... https://github.com/pditommaso/awesome-pipeline