BOL

amos.sourceforge.net - We present the first collection of tools aimed at automated genome assembly validation. This work formalizes several mechanisms for detecting mis-assemblies, and describes their implementation in our automated validation pipeline,...

bioinfo.konkuk.ac.kr - The GMASS score is a novel measure for representing structural similarity between two assemblies. It will contribute to the understanding of assembly output and developing de novo...

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 - IVA (Iterative Virus Assembler) designed specifically for read pairs sequenced at highly variable depth from RNA virus samples. We tested IVA on datasets from 140 sequenced samples from human immunodeficiency virus-1 or influenza-virus-infected...

If we only had Illumina reads, we could also assemble these using the tool Spades. You can try this here, or try it later on your own data. Get data We will use the same Illumina data as we used above: illumina_R1.fastq.gz: the Illumina...

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/

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...