BOL

In the Genomic Microbiology Group of Prof. Tal Dagan at the Institute of Microbiology at Kiel University, Germany, a Postdoc position (m/w/d) in the field of computational evolutionary microbiology is available for an initially limited...

github.com - ausarg/pipesnake is a bioinformatics best-practice analysis pipeline for phylogenomic reconstruction starting from short-read 'second-generation' sequencing data. The pipeline is built using Nextflow, a workflow tool to run tasks across...

code.ohloh.net - I bet, this website will be your best friend in near future. This helps us to explore the existing open source codes and learn from it. You can find some useful open source bioinformatics codes for your analysis work. You can use the left bar...

UW engineers invent programming language to build synthetic DNA

http://www.au.dk/en/about/vacant-positions/scientific-positions/stillinger/Vacancy/show/743161/5283/ Qualifications: MSc degree in computer science, engineering, genetics or similar field with a strong emphasis on computational...

www.nature.com - GMOL was developed based upon our multi-scale approach that allows a user to scale between six separate levels within the genome. With GMOL, a user can choose any unit at any scale and scale it up or down to visualize its structure and retrieve...

Raghava's group is known for developing open source software or web servers. Group have developed large number of web-based services. Find more at http://www.imtech.res.in/raghava/

rosenberglab.stanford.edu - distruct is a program that can be used to graphically display results produced by the genetic clustering program structure or by other similar programs. The figures produced by distructdisplay individual membership coefficients...

github.com - This tool extracts heterozygous kmer pairs from kmer count databases and performs gymnastics with them. We are able to disentangle genome structure by comparing the sum of kmer pair coverages (CovA + CovB) to their relative coverage (CovB / (CovA +...

github.com - SvABA is a method for detecting structural variants in sequencing data using genome-wide local assembly. Under the hood, SvABA uses a custom implementation of SGA (String Graph Assembler) by Jared Simpson, and BWA-MEM by Heng Li....