BOL

In an attempt to find a good Linux reference for bioinformatician and BOL readers, I was unsuccessful at finding a decent one on the Internet. So, we decided to make a cheat sheet for biological programmers.

github.com - This project contains scripts and tutorials on how to assemble individual microbial genomes from metagenomes, as described in: Genome sequences of rare, uncultured bacteria obtained by differential coverage binning of multiple metagenomes Mads...

Short term perl training for geneticist

journal.frontiersin.org - We have developed gbtools, a software package that allows users to visualize metagenomic assemblies by plotting coverage (sequencing depth) and GC values of contigs, and also to annotate the plots with taxonomic information. Different sets of...

NGS & Bioinformatics Summit Europe Conference 7th to 8th October 2013 Berlin, Germany Website: https://www.gtcbio.com/conference/ngseurope-overview Contact person: Kristen Starkey We welcome you to join us at GTC’s NGS...

http://json.org/ - JSON (JavaScript Object Notation) is a lightweight data-interchange format. It is easy for humans to read and write. It is easy for machines to parse and generate. It is based on a subset of the JavaScript Programming...

The Bioinformatics group at Boku University has two main areas of interest, underpinning a common goal, the study of complex systems in living organisms. To overcome the engineered redundancies and combinatorial effects prevalent in higher...

lifemap-ncbi.univ-lyon1.fr - Lifemap is an interactive tool to explore the WHOLE NCBI TAXONOMY. The concept used in Lifemap is similar to the one used in cartography with tools like Google Maps© or Open Street Maps: exploring is done by zooming and panning.  The...

At TU Dresden, Faculty of Computer Science, the DFG Research Training Group GRK 1907 “Role-based Software Infrastructures for continuous-context-sensitive Systems” offers the positions of 6 PhD Students (E 13 TV-L) for applicants interested in...

compbio.mit.edu - ChromHMM is software for learning and characterizing chromatin states. ChromHMM can integrate multiple chromatin datasets such as ChIP-seq data of various histone modifications to discover de novo the major re-occuring combinatorial and spatial...