BOL

https://plast.inria.fr/ - PLAST is a fast, accurate and NGS scalable bank-to-bank sequence similarity search tool providing significant accelerations of seeds-based heuristic comparison methods, such as the Blast suite of algorithms. Relying on unique software architecture,...

May 21, 2014 - Current Topics in Genome Analysis 2014 A lecture series covering contemporary areas in genomics and bioinformatics. More: http://www.genome.gov/COURSE2014

wikis.utexas.edu - The Integrative Genomics Viewer (IGV) from the Broad Center allows you to view several types of data files involved in any NGS analysis that employs a reference genome, including how reads from a dataset are mapped, gene annotations, and predicted...

cosmos.hms.harvard.edu - COSMOS, our Python-based management system for implementing large-scale parallel workflows focusing on, but not restricted to, large-scale short-read "NGS" sequencing data is open-access published via Advance Access in Bioinformatics (Gafni et al....

www.well.ox.ac.uk - Platypus is a tool designed for efficient and accurate variant-detection in high-throughput sequencing data. By using local realignment of reads and local assembly it achieves both high sensitivity and high specificity. Platypus can detect...

pypi.python.org - Orange Bioinformatics extends Orange, a data mining software package, with common functionality for bioinformatics. The provided functionality can be accessed as a Python library or through a visual programming interface (Orange Canvas). The latter...

Google Life Sciences is recruiting a technical lead with experience in bioinformatics and clinical bioinformatics, including for biomarker discovery projects such as the Baseline study. Responsibilities Lead teams of scientists in structuring,...

github.com - Development packages for zlib and libbz2 are needed, as well as a standard compiler environment. On Ubuntu, this can be installed via: sudo apt-get install build-essential libtool automake zlib1g-dev libbz2-dev pkg-config On MacOS, the Apple...

My research group consists primarily of computer science graduate students and postdocs with expertise in algorithms, statistical inferences and machine learning, and sharing a passion for understanding fundamental biological problems. We work in...

The goal of our research is to better understand the biology of microbial organisms of significant ecological, veterinary and medical importance. To achieve this goal, our team combines the power of next generation DNA sequencing and...