Oxford Nanopore Technologies (ONT) sequencing data analysis skill. Covers the end-to-end nanopore pipeline: basecalling raw POD5/FAST5 signal with Dorado, long-read alignment with Minimap2, haploid co
Use with AI
Install the MCP server or CLI to instantly fetch Oxford Nanopore Technologies (ONT) documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/ont
AlleleSeq — pipeline for detecting allele-specific expression (ASE) and allele-specific binding (ASB) from RNA-seq and ChIP-seq data at heterozygous SNP positions. Constructs a personal diploid genome
2 shared topics • 2 shared operations
Use when performing HLA typing from RNA-seq data with arcasHLA. Covers extracting HLA reads from STAR-aligned BAMs, high-resolution genotyping at 6-digit allele level, partial genotyping for low-cover
2 shared topics • 2 shared operations
Use when working with the ARTIC viral amplicon sequencing command-line pipeline for Oxford Nanopore data. Covers documented `artic minion`, `artic guppyplex`, and `artic_get_models` workflows for prim
2 shared topics • 2 shared operations
Loom — HDF5-based file format and Python library (loompy) for storing and accessing large single-cell RNA-seq datasets. Supports sparse/dense matrices, row attributes (genes/features), column attribut
2 shared topics • 2 shared operations
Novocraft suite — short-read alignment and BAM sorting for DNA-seq and RNA-seq. novoalign maps Illumina, Ion Torrent, and 454 reads to indexed reference genomes with Smith-Waterman scoring for high-ac
2 shared topics • 2 shared operations