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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...

github.com - tardis Toolkit for Automated and Rapid DIscovery of Structural variants Requirements zlib (http://www.zlib.net)mrfast (https://github.com/BilkentCompGen/mrfast)htslib (included as submodule; http://htslib.org/)Fetching tardis git clone...

github.com - KAT is a suite of tools that analyse jellyfish hashes or sequence files (fasta or fastq) using kmer counts. The following tools are currently available in KAT: hist: Create an histogram of k-mer occurrences from a sequence file. Adds metadata in...

pypi.org - The Environment for Tree Exploration (ETE) is a Python programming toolkit that assists in the recontruction, manipulation, analysis and visualization of phylogenetic trees (although clustering trees or any other tree-like data structure are also...

github.com - ProteoClade is a Python library for taxonomic-based annotation and quantification of bottom-up proteomics data. It is designed to be user-friendly, and has been optimized for speed and storage requirements. ProteoClade helps you analyze two...

It is enormous, billions of letters long. Some of those letters are easy to understand because they contain instructions for building proteins, the tiny machines that keep our cells alive.

christophergandrud.github.io - Mike Bostock’s D3.js is great for creating interactive network graphs with JavaScript. The d3Network package makes it easy to create these network graphs from R. The main idea is that you should able to take...

Predicting the structure of protein–protein complexes using docking approaches is a difficult problem whose major challenges include identifying correct solutions, and properly dealing with molecular flexibility and conformational changes....