BOL

code.google.com - splitbam splits a BAM by chromosomes. Using the reference sequence dictionary (*.dict), it also creates some empty BAM files if no sam record was found for a chromosome. A pair of 'mock' SAM-Records can also be added to those empty BAMs to...

downloads.jbei.org - MaxBin is software for binning assembled metagenomic sequences based on an Expectation-Maximization algorithm. Users can understand the underlying bins (genomes) of the microbes in their metagenomes by simply providing assembled metagenomic...

github.com - GroopM is a metagenomic binning toolset. It leverages spatio-temoraldynamics (differential coverage) to accurately (and almost automatically)extract population genomes from multi-sample metagenomic datasets. GroopM is largely parameter-free. Use:...

github.com - DBG2OLC:Efficient Assembly of Large Genomes Using Long Erroneous Reads of the Third Generation Sequencing Technologies Our work is published in Scientific Reports: Ye, C. et al. DBG2OLC: Efficient Assembly of Large Genomes Using Long Erroneous...

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...

www.molgen.mpg.de - Ranbow is a haplotype assembler for polyploid genomes. It has been developed for the haplotype assembly of the hexaploid sweet potato genome, which is highly heterozygous. Ranbow can also be applied to other polyploid genomes. After a first phasing,...

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

scilifelab.github.io - SciLifeLab is a national center for molecular biosciences with focus on health and environmental research. Courses Old courses (2012-2014) Metagenomics Workshop 2015 November - Uppsala2016 November - Uppsala2017 November - Uppsala Introduction...

RASA conducts comprehensive Life Science skill development training courses in Pune, India for working professionals, researchers, students and job-seeker. The trainings are crafted meticulously, covering different modules of courses such as...

homes.sice.indiana.edu - Machine learning techniques have been successful in analyzing biological data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. In this class, we will learn basics about probabilistic models...