Unknown

Dataset Information

0

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


ABSTRACT:

Motivation

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.

Results

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.

Availability and implementation

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.

Contact

richard.leggett@tgac.ac.uk

Supplementary information

Supplementary data are available at Bioinformatics online.

SUBMITTER: Leggett RM 

PROVIDER: S-EPMC4681994 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

| S-EPMC3787829 | biostudies-literature
| S-EPMC6417284 | biostudies-literature
| S-EPMC7782715 | biostudies-literature
| S-EPMC4787001 | biostudies-literature
| S-EPMC8002175 | biostudies-literature
| S-EPMC7423900 | biostudies-literature
| S-EPMC3879328 | biostudies-literature
| S-EPMC4018527 | biostudies-literature
| S-EPMC7568507 | biostudies-literature
2020-07-10 | GSE130708 | GEO