BEDOPS v2.4.26: high-performance genomic feature operations
BEDOPS v2.4.26 is a suite of tools to address common questions raised in genomic studies — mostly with regard to overlap and proximity relationships between data sets. It aims to be scalable and flexible, facilitating the efficient and accurate analysis and management of large-scale genomic...Tags: BEDOPS, high-performance, genomic, feature, operations, NGS, BED
2533 days ago
Tags: BFC, standalone, high-performance, tool, correcting, sequencing, errors, Illumina, sequencing, data
2180 days ago
pWhatsHap: a parallel, high-performance version of WhatsHap
Given the potential relevance of efficient haplotyping in several analysis pipelines, we have designed and engineered pWhatsHap, a parallel, high-performance version of WhatsHap. pWhatsHap is embedded in a toolkit developed in Python and supports genomics datasets in standar...Tags: pWhatsHap, parallel, high-performance, WhatsHap, Phasing, Phase, Genome, Alles, Haplotype
2013 days ago
Seq: A high-performance, Pythonic language for bioinformatics
Seq is a programming language for computational genomics and bioinformatics. With a Python-compatible syntax and a host of domain-specific features and optimizations, Seq makes writing high-performance genomics software as easy as writing Python code, and achieves performance comparable t...Tags: Seq, high-performance, Pythonic, language, bioinformatics, python
1639 days ago
GWASpro: A High-Performance Genome-Wide Association Analysis Server
GWASpro supports building complex design matrices, by which complex experimental designs that may include replications, treatments, locations and times, can be accounted for in the linear mixed model (LMM). GWASpro is optimized to handle GWAS data that may consist of up to 10 million markers and ...Tags: GWASpro, High-Performance, Genome-Wide, Association, Analysis, Server
1990 days ago