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Authors: Jitao Yang 1 ; Shuai Zhu 2 ; Guangpeng Xu 2 and Chao Han 2

Affiliations: 1 Beijing Language and Culture University and Annoroad Gene Technology, China ; 2 Annoroad Gene Technology, China

Keyword(s): LIMS, NGS, Genome Sequencing, Genomics, Sample Tracking.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Health Information Systems ; Software Systems in Medicine

Abstract: The goal of genome sequencing is to unravel the ordered sequence of nucleic acids that form the DNA or RNA of a given sample. Genome sequencing lab requires the ability to select and track a large amount of samples through many experimental steps. Therefore, laboratory information management system (LIMS) is needed to provide a way of automating the laboratory experimental procedures and track the samples. LIMSs have been proposed and developed for many years, but still remain difficult for labs to implement successfully. In this paper, we demonstrate our genomic next generation sequencing (NGS) LIMS solution. We developed a web-based LIMS with flexible configuration and customization for NGS laboratories, and can help laboratories track samples and optimize experimental procedures and business workflows. We also describe our solution of integrating LIMS with the existing enterprise business information systems. Finally, we share our experience for the implementation of a successful LIMS. (More)

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Paper citation in several formats:
Yang, J.; Zhu, S.; Xu, G. and Han, C. (2017). Laboratory Information Management System for NGS Genomics Labs. In Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017) - HEALTHINF; ISBN 978-989-758-213-4; ISSN 2184-4305, SciTePress, pages 326-333. DOI: 10.5220/0006149503260333

@conference{healthinf17,
author={Jitao Yang. and Shuai Zhu. and Guangpeng Xu. and Chao Han.},
title={Laboratory Information Management System for NGS Genomics Labs},
booktitle={Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017) - HEALTHINF},
year={2017},
pages={326-333},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006149503260333},
isbn={978-989-758-213-4},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017) - HEALTHINF
TI - Laboratory Information Management System for NGS Genomics Labs
SN - 978-989-758-213-4
IS - 2184-4305
AU - Yang, J.
AU - Zhu, S.
AU - Xu, G.
AU - Han, C.
PY - 2017
SP - 326
EP - 333
DO - 10.5220/0006149503260333
PB - SciTePress

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