PT  - JOURNAL ARTICLE
AU  - James M. Ferguson
AU  - Martin A. Smith
TI  - SquiggleKit: A toolkit for manipulating nanopore signal data
AID  - 10.1101/549741
DP  - 2019 Jan 01
TA  - bioRxiv
PG  - 549741
4099  - http://biorxiv.org/content/early/2019/02/16/549741.short
4100  - http://biorxiv.org/content/early/2019/02/16/549741.full
AB  - The management of raw nanopore sequencing data poses a challenge that must be overcome to accelerate the development of new bioinformatics algorithms predicated on signal analysis. SquiggleKit is a toolkit for manipulating and interrogating nanopore data that simplifies file handling, data extraction, visualisation, and signal processing. Its modular tools can be used to reduce file numbers and memory footprint, identify poly-A tails, target barcodes, adapters, and find nucleotide sequence motifs in raw nanopore signal, amongst other applications. SquiggleKit serves as a bioinformatics portal into signal space, for novice and experienced users alike. It is comprehensively documented, simple to use, cross-platform compatible and freely available from (https://github.com/Psy-Fer/SquiggleKit).