BOL

sourceforge.net - Genobuntu is a software package containing more than 70 software and packages oriented towards NGS. In its current version, Genobuntu supports pre assembly tools, genome assemblers as well as post assembly tools.Commonly used biological software and...

In this protocol, we address and describe the de novo assembly method for small to medium-sized genomes.

ucdavis-bioinformatics-training.github.io - Our team offers custom bioinformatics services to academic and private organizations. We have a strong academic background with a focus on cutting edge, open source software. We replicate standard analysis pipelines (best practices) when...

Ongoing research in the group of Karine Van Doninck involves topics at the core of evolutionary biology, including the evolution of sex, genome maintenance, recombination and extreme stress resistance on different eukaryotic systems, including...

Bioinformatics tools

github.com - Perform Alignment-free k-tuple frequency comparisons from sequences. This can be in the form of two input files (e.g. a reference and a query) or a single file for pairwise comparisons to be made.

github.com - Just import the assembly, bam and ALE scores. You can convert the .ale file to a set of .wig files with ale2wiggle.py and IGV can read those directly.  Depending on your genome size you may want to convert the .wig files to the BigWig format.

https://proksee.ca/ - Proksee is an expert system for genome assembly, annotation and visualization. To begin using Proksee, provide a complete genome sequence, sequencing reads or a CGView/Proksee map JSON file. Please Cite the Following Grant JR, Enns E, Marinier E,...

ikim-essen.github.io - UnCoVar: Workflow for Transparent and Robust Virus Variant Calling, Genome Reconstruction and Lineage Assignment Using state of the art tools, easily extended for other viruses Tool and database updates for critical components via...

ivory.idyll.org - DNA k-mers underlie much of our assembly work, and we (along with many others!) have spent a lot of time thinking about how to store k-mer graphs efficiently, discard redundant data, and count them efficiently. More recently, we've...