Preseq — C++ toolkit for predicting library complexity and future sequencing yield from genomic sequencing experiments. Estimates distinct molecule counts, extrapolates coverage curves, and identifies
Use with AI
Install the MCP server or CLI to instantly fetch Preseq documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/preseq
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
PRINSEQ++ — high-performance C++ tool for quality control and preprocessing of FASTQ sequencing reads. Filters and trims reads by quality score, length, GC content, sequence complexity (DUST/entropy),
2 shared topics • 1 shared operation
PycoQC — Python tool for Oxford Nanopore sequencing QC that parses basecaller summary files (sequencing_summary.txt from Guppy, Dorado, or MinKNOW) and BAM alignment files to generate interactive HTML
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