BOL

github.com - NextSV, a meta SV caller and a computational pipeline to perform SV calling from low coverage long-read sequencing data. NextSV integrates three aligners and three SV callers and generates two integrated call sets (sensitive/stringent) for different...

github.com - This tool is used to merge structural variants (SVs) across samples. Each sample has a number of SV calls, consisting of position information (chromosome, start, end, length), type and strand information, and a number of other values. Jasmine...

github.com - Call sviper ~$ ./sviper -s short-reads.bam -l long-reads.bam -r ref.fa -c variants.vcf -o polished_variants This will output a polished_variants.vcf file, that contains all the refined variants. Sometimes it is helpful to look at the...

github.com - MALVA is able to genotype multi-allelic SNPs and indels without mapping reads MALVA calls correctly more indels than the most widely adopted genotyping pipelines Mapping-free approaches are as accurate as alignment-based ones, while being...

bitbucket.org - SVEngine (Structural Variants Engine) SVEngine is a multi-purpose and self-contained simulator for whole genome scale spike-in of thousands of SV events of various types in both single-sample and matched sample scenarios. SVEngine takes as input...

github.com - Hagfish is a tool that is to be used in data analysis of Next Generation Sequencing (NGS) experiments. Hagfish builds on the concept of coverage plots and aims to assist (amongst others) in quality control of de novo genome assembly or...

github.com - Requirements: velvet (velveth velvetg should be in your PATH) R (with Sweave) pdflatex (usually part of TeTeX) ggplot2 (from R prompt type install.packages("ggplot2","proto","xtable")) Perl Optional: BLAT or BLAST (to generate...

alan.cs.gsu.edu - caffMatch is a novel scaffolding tool based on Maximum-Weight Matching able to produce high-quality scaffolds from NGS data (reads and contigs). The tool is written in Python 2.7. It also includes a bash script wrapper that calls aligner in case one...

sco.h-its.org - PEAR is an ultrafast, memory-efficient and highly accurate pair-end read merger. It is fully parallelized and can run with as low as just a few kilobytes of memory. PEAR evaluates all possible paired-end read overlaps and without requiring the...

www.homolog.us - If genomes were completely random sequences in a statistical sense, 'overlap-consensus-layout' method would have been enough to assemble large genomes from Sanger reads. In contrast, real genomes often have long repetitive regions, and they are hard...