BOL

atifrahman.github.io - SWALO (scaffolding with assembly likelihood optimization) is a method for scaffolding based on likelihood of genome assemblies computed using generative models for sequencing. Please email your questions, comments, suggestions, and bug reports to...

mkweb.bcgsc.ca - Before uploading a data file, check the samples gallery to make sure that your data format is compatible. Your file must be plain text. Your data values must be non-negative integers. Data must be space-separated (one or...

converting a VCF file into a FASTA file given a reference sequence

1000 Genomes data tutorial at ASHG Structural variants presentation by Jan Korbel European Molecular Biology Laboratory (EMBL) Heidelberg Genome Biology Research...

sepsis-omics.github.io - This is a tutorial for a workshop on long-read (PacBio) genome assembly. It demonstrates how to use long PacBio sequencing reads to assemble a bacterial genome, and includes additional steps for circularising, trimming, finding plasmids, and...

wishart.biology.ualberta.ca - GView is a Java package used to display and navigate bacterial genomes. GView is useful for producing high-quality genome maps for use in publications and websites, or as a visualization tool in a sequence annotation pipeline. Users can interact...

github.com - SKESA is a DeBruijn graph-based de-novo assembler designed for assembling reads of microbial genomes sequenced using Illumina. Comparison with SPAdes and MegaHit shows that SKESA produces assemblies that have high sequence quality and contiguity,...

brig.sourceforge.net - BRIG is a free cross-platform (Windows/Mac/Unix) application that can display circular comparisons between a large number of genomes, with a focus on handling genome assembly data. The application is available at:...

nemo2.sourceforge.net - A recombination map has been added for all multi-locus traits. The map positions (chromosomal) for neutral markers (e.g. SNPs) and loci under selection (QTLs, deleterious mutations, DMIs) can now be specified explicitly, or set at random....

To decide which strategy should be our “preferred” genome assembly approach based on data rather than my gut-feeling about the “best assembly” I decided to do some testing with a known “true” reference E Coli K12 MG1655