Showing 5 open source projects for "cpu memory usage"

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  • 1
    Bowtie 2

    Bowtie 2

    A fast and sensitive gapped read aligner

    Bowtie 2 is a fast, memory-efficient genomic read aligner used to map sequencing reads against long reference sequences such as mammalian genomes. It is especially effective for reads ranging from around 50 bases to hundreds or thousands of characters, and it supports modern sequencing workflows that require gapped, local, and paired-end alignment. The tool builds compact FM-index-based reference indexes, keeping memory usage low even for large genomes like the human genome. ...
    Downloads: 0 This Week
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  • 2
    UniversalMer

    UniversalMer

    A CLI k-mer counting tool for multiple sizes of k at once.

    UniversalMer is a k-mer counting tool for multiple size of k at once. It is available for DNA, RNA, and protein sequences. The program counts and summarizes the exact frequency of all k-mers from 1-mer to a user-defined maximum length (kmax). Analyzing the k-mer spectrum across multiple values of k can be done in seconds. This program is designed for bioinformatics researchers and scientists.
    Downloads: 0 This Week
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  • 3

    miRPV

    miRPV: An automated pipeline for miRNA Prediction and Validation in si

    miRPV is an Automated tool that allows users to predict and validate microRNA from genome/gene sequence. System Requirement CPU: AMD64 (64bit) Memory: 2Gb RAM Storage: 5Gb Ubuntu 18.04
    Downloads: 0 This Week
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  • 4

    slimfastq

    An efficient lossless compression for fastq files.

    slimfastq is a cli application that compresses/decompresses fastq files. It features: * High compression ratio * Relatively low cpu/memory usage * Truly lossless compression/decompression
    Downloads: 0 This Week
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  • 5

    PASHA: Parallelized Short Read Assembly

    One of the fastest parallel short read assemblers for large genomes.

    PASHA is a parallel short read assembler for large genomes using de Bruijn graphs. Taking advantage of both shared-memory multi-core CPUs and distributed-memory compute clusters, PASHA has demonstrated its potential to perform high-quality de-novo assembly of large genomes in reasonable time with modest computing resources. Our evaluation using three small real paired-end datasets shows that PASHA is able to produce better assemblies with comparable genome coverage and mis-assembly rates compared to three leading assemblers: Velvet, ABySS and SOAPdenovo. ...
    Downloads: 1 This Week
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