Results for "high-performance"

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  • 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

    2509 days ago

  • BFC: a standalone high-performance tool for correcting sequencing errors from Illumina sequencing data

    BFC is a standalone high-performance tool for correcting sequencing errors from Illumina sequencing data. It is specifically designed for high-coverage whole-genome human data, though also performs well for small genomes. The BFC algorithm is a variant of the classical spectrum alignment algor...

    Tags: BFC, standalone, high-performance, tool, correcting, sequencing, errors, Illumina, sequencing, data

    2156 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

    1989 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

    1615 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

    1966 days ago