BOL

phytozome.jgi.doe.gov - Phytozome, the Plant Comparative Genomics portal of the Department of Energy's Joint Genome Institute, provides JGI users and the broader plant science community a hub for accessing, visualizing and analyzing JGI-sequenced plant genomes, as well as...

github.com - KAD is designed for evaluating the accuracy of nucleotide base quality of genome assemblies. Briefly, abundance of k-mers are quantified for both sequencing reads and assembly sequences. Comparison of the two values results in a single value per...

Rajiv Gandhi Centre for Biotechnology An Autonomous National Institute under Government of India, Ministry of Science & Technology Department of Biotechnology No: RGCB/ Advt./2014/1 January 24, 2014 Scientist Positions Group...

github.com - Flanker, a Python package which performs alignment-free clustering of gene flanking sequences in a consistent format, allowing investigation of mobile genetic elements (MGEs) without prior knowledge of their structure. Flanker can be...

Param Bio Blaze, a supercomputing facility, to address the challenges in bioinformatics on Tuesday at a three-day symposium.

github.com - IVA (Iterative Virus Assembler) designed specifically for read pairs sequenced at highly variable depth from RNA virus samples. We tested IVA on datasets from 140 sequenced samples from human immunodeficiency virus-1 or influenza-virus-infected...

DNA samples of living people infer the ancient biological relationship ...

github.com - RagTag is a collection of software tools for scaffolding and improving modern genome assemblies. Tasks include: Homology-based misassembly correction Homology-based assembly scaffolding and patching Scaffold merging

We are looking for a motivated application scientist to help evaluate, compare, and develop next generation sequencing (NGS) data analysis methods. The successful candidate should be able to quickly understand the state-of-art computational biology...

ftp.ncbi.nlm.nih.gov - List of all viruses on NCBI  https://ftp.ncbi.nlm.nih.gov/refseq/release/viral/