BOL

github.com - Collection of Python libraries to parse bioinformatics files, or perform computation related to assembly, annotation, and comparative genomics. https://github.com/tanghaibao/jcvi More at https://github.com/tanghaibao/jcvi/wiki

github.com - HASLR, a hybrid assembler which uses both second and third generation sequencing reads to efficiently generate accurate genome assemblies. Our experiments show that HASLR is not only the fastest assembler but also the one with the lowest number of...

List of bioinformatics tools/Software Website References for genome assembly:

github.com - MitoZ, consisting of independent modules of de novo assembly, findMitoScaf (find Mitochondrial Scaffolds), annotation and visualization, that can generate mitogenome assembly together with annotation and visualization results from HTS raw...

There are numerous genome assembly tools available, each with its strengths and weaknesses. Here is a list of some widely used genome assembly tools as of my last update in September 2021: SPAdes: An assembler specifically designed for...

www.atcgn.com - quarTeT is a collection of tools for T2T genome assembly and basic analysis in automatic workflow.Task include: AssemblyMapper : reference-guided genome assembly GapFiller : long-reads based gap filling TeloExplorer : telomere...

http://busco.ezlab.org/ - Assessing genome assembly and annotation completeness with Benchmarking Universal Single-Copy Orthologs More at http://busco.ezlab.org/

genomebiology.biomedcentral.com - REAPR is a tool that evaluates the accuracy of a genome assembly using mapped paired end reads, without the use of a reference genome for comparison. It can be used in any stage of an assembly pipeline to automatically break incorrect scaffolds and...

www.vicbioinformatics.com - VAGUE is a vague acronym for "Velvet Assembler Graphical Front End", which means it is a GUI for the Velvet de novo assembler. The command line version of Velvet can be complicated for beginners to use, but VAGUE makes it clear and simple More...

github.com - This tutorial includes resources for learning more about PacBio data and bioinformatics analysis, and includes content suitable for both beginners and experts. Below are links to training modules (webinars and PowerPoint presentations) to help you...