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Analysing 454 amplicon resequencing experiments using the modular and database oriented Variant Identification Pipeline

Authors :
Deforce Dieter
Coucke Paul
Van Nieuwerburgh Filip
Pattyn Filip
Sabbe Nick
Lefever Steve
De Leeneer Kim
De Schrijver Joachim M
Vandesompele Jo
Bekaert Sofie
Hellemans Jan
Van Criekinge Wim
Source :
BMC Bioinformatics, Vol 11, Iss 1, p 269 (2010)
Publication Year :
2010
Publisher :
BMC, 2010.

Abstract

Abstract Background Next-generation amplicon sequencing enables high-throughput genetic diagnostics, sequencing multiple genes in several patients together in one sequencing run. Currently, no open-source out-of-the-box software solution exists that reliably reports detected genetic variations and that can be used to improve future sequencing effectiveness by analyzing the PCR reactions. Results We developed an integrated database oriented software pipeline for analysis of 454/Roche GS-FLX amplicon resequencing experiments using Perl and a relational database. The pipeline enables variation detection, variation detection validation, and advanced data analysis, which provides information that can be used to optimize PCR efficiency using traditional means. The modular approach enables customization of the pipeline where needed and allows researchers to adopt their analysis pipeline to their experiments. Clear documentation and training data is available to test and validate the pipeline prior to using it on real sequencing data. Conclusions We designed an open-source database oriented pipeline that enables advanced analysis of 454/Roche GS-FLX amplicon resequencing experiments using SQL-statements. This modular database approach allows easy coupling with other pipeline modules such as variant interpretation or a LIMS system. There is also a set of standard reporting scripts available.

Details

Language :
English
ISSN :
14712105
Volume :
11
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Bioinformatics
Publication Type :
Academic Journal
Accession number :
edsdoj.9fb496c4e9bf4537aa37fffbafed058e
Document Type :
article
Full Text :
https://doi.org/10.1186/1471-2105-11-269