BOL

github.com - JBrowse is a fast, embeddable genome browser built completely with JavaScript and HTML5, with optional run-once data formatting tools written in Perl. Headline Features: Fast, smooth scrolling and zooming. Explore your genome with unparalleled...

github.com - Software package for signal-level analysis of Oxford Nanopore sequencing data. Nanopolish can calculate an improved consensus sequence for a draft genome assembly, detect base modifications, call SNPs and indels with respect to a reference genome...

github.com - We propose AirLift, a methodology and tool for comprehensively moving mappings and annotations from one genome to another similar genome while maintaining the accuracy of a full mapper.

Post-doctoral Research Assistant in Genetics Camden, North London £31.1K per annum inclusive of London Weighting This is a fixed term post for 36 months. We wish to recruit a highly motivated, postdoctoral scientist to carry out a BBSRC...

The Roth Lab seeks insight into biological systems through genome- and proteome-scale experimentation and analysis. Current computational interests: Systematic analysis of genetic epistasis to identify redundant or compensatory systems and to...

www.cs.utoronto.ca - With the relative ease and low cost of current generation sequencing technologies has led to a dramatic increase in the number of sequenced genomes for species across the tree of life. This increasing volume of data requires tools that can quickly...

github.com - MeDuSa (Multi-Draft based Scaffolder), an algorithm for genome scaffolding. MeDuSa exploits information obtained from a set of (draft or closed) genomes from related organisms to determine the correct order and orientation of the contigs. MeDuSa...

www.ploscompbiol.org - Centralized Bioinformatics Core Facilities provide shared resources for the computational and IT requirements of the investigators in their department or institution. As such, they must be able to effectively react to new types of experimental...

shendurelab.github.io - LACHESIS is method that exploits contact probability map data (e.g. from Hi-C) for chromosome-scale de novo genome assembly. Further information about LACHESIS, including source code, documentation and a user's guide are available...

Diploid Assembly of a Puerto Rican Female Adds a Rich Resource to Population-Specific Reference Genomes