github.com - HiCanu, a significant modification of the Canu assembler designed to leverage the full potential of HiFi reads via homopolymer compression, overlap-based error correction, and aggressive false overlap filtering.
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National Institute Of Cancer Prevention & Research - ICMR
Research Assistant Bioinformatics recruitment in National Institute Of Cancer Prevention & Research (ICMR) on Contract basis
Project entitled: “Next generation EGFR inhibitor...
support.10xgenomics.com - Supernova generates phased, whole-genome de novo assemblies from a Chromium-prepared library.
Please see Achieving Success with De Novo Assembly and System Requirements before creating your Chromium libraries for...
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/....
training.galaxyproject.org - In this tutorial we assemble and annotate the genome of E. coli strain C-1. This strain is routinely used in experimental evolution studies involving bacteriophages. For instance, now classic works by Holly Wichman and Jim Bull (Bull 1997, Bull...
sourceforge.net - EXCAVATOR2 is a collection of bash, R and Fortran scripts and codes that analyses Whole Exome Sequencing (WES) data to identify CNVs. EXCAVATOR2 enhances the identification of all genomic CNVs, both overlapping and non-overlapping targeted exons by...
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...
Structural variants (SVs) such as deletions, insertions, duplications, inversions and translocations litter genomes and are often associated with gene expression changes and severe phenotypes (ie. genetic diseases in humans).