Literature DB >> 30239601

Parkour LIMS: high-quality sample preparation in next generation sequencing.

E Anatskiy1, D P Ryan2, B A Grüning1,3, L Arrigoni4, T Manke2, U Bönisch4.   

Abstract

MOTIVATION: This paper presents Parkour, a software package for sample processing and quality management of next generation sequencing data and samples.
RESULTS: Starting with user requests, Parkour allows tracking and assessing samples based on predefined quality criteria through different stages of the sample preparation workflow. Ideally suited for academic core laboratories, the software aims to maximize efficiency and reduce turnaround time by intelligent sample grouping and a clear assignment of staff to work units. Tools for automated invoicing, interactive statistics on facility usage and simple report generation minimize administrative tasks. Provided as a web application, Parkour is a convenient tool for both deep sequencing service users and laboratory personal. A set of web APIs allow coordinated information sharing with local and remote bioinformaticians. The flexible structure allows workflow customization and simple addition of new features as well as the expansion to other domains.
AVAILABILITY AND IMPLEMENTATION: The code and documentation are available at https://github.com/maxplanck-ie/parkour. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
© The Author(s) 2018. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Mesh:

Year:  2019        PMID: 30239601     DOI: 10.1093/bioinformatics/bty820

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


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