Literature DB >> 24870137

Setting up next-generation sequencing in the medical laboratory.

Bing Yu1.   

Abstract

The introduction of next-generation sequencing (NGS) technologies in research has proven to be very successful in the past 8 years. Now, there is considerable demand to apply these technologies for clinical diagnosis. The translation of research-to-clinical practice brings with it a unique set of challenges, particularly when it comes to setting up NGS in the medical laboratory. The practical issues related to infrastructure, selecting which NGS platform, and dealing with informatics requirements are discussed. Application of NGS for clinical diagnosis requires robust quality assurance at multiple levels including sample assessment, library preparation, template generation, and sequencing data which need to be generated, analyzed, and stored. The requirements for data generation, analysis, and storage are considerable.

Mesh:

Year:  2014        PMID: 24870137     DOI: 10.1007/978-1-4939-0847-9_11

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  3 in total

Review 1.  Somatic DNA mutation analysis in targeted therapy of solid tumours.

Authors:  Bing Yu; Sandra A O'Toole; Ronald J Trent
Journal:  Transl Pediatr       Date:  2015-04

2.  Diagnostics of primary immunodeficiency diseases: a sequencing capture approach.

Authors:  Lotte N Moens; Elin Falk-Sörqvist; A Charlotta Asplund; Ewa Bernatowska; C I Edvard Smith; Mats Nilsson
Journal:  PLoS One       Date:  2014-12-11       Impact factor: 3.240

Review 3.  Visual programming for next-generation sequencing data analytics.

Authors:  Franco Milicchio; Rebecca Rose; Jiang Bian; Jae Min; Mattia Prosperi
Journal:  BioData Min       Date:  2016-04-27       Impact factor: 2.522

  3 in total

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