Showing 3 open source projects for "fast performance"

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    BioNeMo

    BioNeMo

    BioNeMo Framework: For building and adapting AI models

    BioNeMo is an AI-powered framework developed by NVIDIA for protein and molecular generation using deep learning models. It provides researchers and developers with tools to design, analyze, and optimize biological molecules, aiding in drug discovery and synthetic biology applications.
    Downloads: 0 This Week
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    Subread

    High-performance read alignment, quantification and mutation discovery

    The Subread software package is a tool kit for processing next-gen sequencing data. It includes Subread aligner, Subjunc exon-exon junction detector and featureCounts read summarization program. Subread aligner can be used to align both gDNA-seq and RNA-seq reads. Subjunc aligner was specified designed for the detection of exon-exon junction. For the mapping of RNA-seq reads, Subread performs local alignments and Subjunc performs global alignments. Subread and Subjunc were published in...
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    Downloads: 247 This Week
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  • 3

    CUSHAW2: Parallel Gapped Read Alignment

    One of the leading short-/long-read aligner to large genomes

    CUSHAW2 is a fast and parallel gapped read alignment to large genomes, such as the human genome. The performance evaluation, by aligning simulated and real datasets to the human genome, shows that CUSHAW2 is consistently among the highest-ranked aligners in terms of alignment quality for both single-end and paired-end alignment, while demonstrating highly competitive speed.
    Downloads: 0 This Week
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