BOL

github.com - odgi provides an efficient and succinct dynamic DNA sequence graph model, as well as a host of algorithms that allow the use of such graphs in bioinformatic analyses. Careful encoding of graph entities allows odgi to efficiently...

www.genomicus.bio.ens.psl.eu - Genomicus is a genome browser that enables users to navigate in genomes in several dimensions: linearly along chromosome axes, transversaly across different species, and chronologicaly along evolutionary time. Once a query gene has been entered, it...

github.com - MitoHiFi v3.2 is a python pipeline distributed under MIT License ! MitoHiFi was first developed to assemble the mitogenomes for a wide range of species in the Darwin Tree of Life Project...

www.cbcb.umd.edu - Metagenomics sequencing projects collect samples of DNA from uncharacterized environments that may contain hundreds or even thousands of species. One of the main challenges in analyzing a metagenome is phylogenetic classification of raw sequence...

maq.sourceforge.net - Maq stands for Mapping and Assembly with Quality It builds assembly by mapping short reads to reference sequences. Maq is a project hosted by SourceForge.net. The project page is available athttp://sourceforge.net/projects/maq/....

github.com - pyScaf orders contigs from genome assemblies utilising several types of information: paired-end (PE) and/or mate-pair libraries (NGS-based mode) long reads (NGS-based mode) synteny to the genome of some related species (reference-based...

Structural variation caller tools using long reads

www.baseclear.com - SSPACE standard is a stand-alone program for scaffolding pre-assembled contigs using NGS paired-read data. It is unique in offering the possibility to manually control the scaffolding process. By using the distance information of paired-end and/or...

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...

lindenb.github.io - Collection of Java tool kits for bioinformatics works: Jvarkit : Java utilities for Bioinformatics