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www.biomedcentral.com - A. Hatem, D. Bozdag, A. E. Toland, U. V. Catalyurek "Benchmarking short sequence mapping tools" BMC Bioinformatics, 14(1):184, 2013. http://bmi.osu.edu/hpc/software/benchmark/ http://bmi.osu.edu/hpc/software/pmap/pmap.html Other similiar...

REU at Fordham University- Summer 2016 An NSF-funded REU to study Y-chromosome diversity and sex-biased dispersal in wild brown rats (Rattus norvegicus) is available in the Munshi-South Lab at Fordham University. Our lab is currently...

github.com - RAINBOWR(Reliable Association INference By Optimizing Weights with R) is a package to perform several types of GWAS as follows. Single-SNP GWAS with RGWAS.normal function SNP-set (or gene set) GWAS with RGWAS.multisnp function (which tests...

Your friends may be as genetically similar to you as your fourth cousin ...

github.com - VcfR is an R package intended to allow easy manipulation and visualization of variant call format (VCF) data. Functions are provided to rapidly read from and write to VCF files. Once VCF data is read into R a parser function extracts matrices from...

github.com - Parliament2 identifies structural variants in a given sample relative to a reference genome. These structural variants cover large deletion events that are called as Deletions of a region, Insertions of a sequence into a region, Duplications of a...

github.com - Minda is a tool for evaluating structural variant (SV) callers that standardizes VCF records for compatibility with both germline and somatic SV callers, benchmarks against a single VCF input file, or benchmarks against an ensemble call set...

github.com - Severus is a somatic structural variation (SV) caller for long reads (both PacBio and ONT). It is designed for matching tumor/normal analysis, supports multiple tumor samples, and produces accurate and complete somatic and germline calls. Severus...

github.com - A probabilistic framework for structural variant discovery. Ryan M Layer, Colby Chiang, Aaron R Quinlan, and Ira M Hall. 2014. "LUMPY: a Probabilistic Framework for Structural Variant Discovery." Genome Biology 15 (6):...