NanoOK: multi-reference alignment analysis of nanopore sequencing data, quality and error profiles | Zendy

Richard M. Leggett | Zendy; Darren Heavens | Zendy; Mario Cáccamo | Zendy; Matthew D. Clark | Zendy; Robert Davey | Zendy

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NanoOK: multi-reference alignment analysis of nanopore sequencing data, quality and error profiles

Author(s) -

Richard M. Leggett,

Darren Heavens,

Mario Cáccamo,

Matthew D. Clark,

Robert Davey

Publication year - 2015

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btv540

Subject(s) - minion , nanopore sequencing , computer science , mac os , documentation , software , source code , java , os x , scripting language , set (abstract data type) , data mining , operating system , usb , error detection and correction , plug in , programming language , algorithm , biochemistry , genome , chemistry , gene

The Oxford Nanopore MinION sequencer, currently in pre-release testing through the MinION Access Programme (MAP), promises long reads in real-time from an inexpensive, compact, USB device. Tools have been released to extract FASTA/Q from the MinION base calling output and to provide basic yield statistics. However, no single tool yet exists to provide comprehensive alignment-based quality control and error profile analysis--something that is extremely important given the speed with which the platform is evolving.

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