NanoComp compares multiple Oxford Nanopore long-read sequencing datasets side-by-side, producing interactive HTML reports and TSV statistics across samples. Use when comparing read-length distribution
Use with AI
Install the MCP server or CLI to instantly fetch NanoComp documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/nanocomp
NanoPlot — visualization and quality-control tool for Oxford Nanopore long-read sequencing data. Generates read length histograms, quality distribution plots, cumulative yield curves, and alignment id
2 shared topics • 1 shared operation
NanoStat — Python tool for calculating statistics from Oxford Nanopore and PacBio long-read sequencing data. Reads FASTQ, FASTA, BAM, and sequencing summary files to produce read length distributions,
2 shared topics • 1 shared operation
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2 shared topics • 1 shared operation
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2 shared topics • 1 shared operation
SOAPnuke — C++ quality control and preprocessing tool for high-throughput sequencing data. Filters and trims paired-end or single-end FASTQ reads by adapter content, low quality bases, N-base ratio, r
2 shared topics • 1 shared operation