NanoOK: multi-reference alignment analysis of nanopore sequencing data, quality and error profiles.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 26382197.
- Also identified by DOI 10.1093/bioinformatics/btv540 and PMC identifier 4681994.
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Abstract
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. NanoOK generates detailed tabular and graphical output plus an in-depth multi-page PDF report including error profile, quality and yield data. NanoOK is multi-reference, enabling detailed analysis of metagenomic or multiplexed samples. Four popular Nanopore aligners are supported and it is easily extensible to include others. NanoOK is an open-source software, implemented in Java with supporting R scripts. It has been tested on Linux and Mac OS X and can be downloaded from https://github.com/TGAC/NanoOK. A VirtualBox VM containing all dependencies and the DH10B read set used in this article is available from http://opendata.tgac.ac.uk/nanook/. A Docker image is also available from Docker Hub--see program documentation https://documentation.tgac.ac.uk/display/NANOOK. richard.leggett@tgac.ac.uk Supplementary data are available at Bioinformatics online.
Medical subject headings
- Data Accuracy
- Nanopores
- Sequence Alignment
- Sequence Analysis, DNA
- Software