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

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...

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Autores principales: De Schrijver, Joachim M, De Leeneer, Kim, Lefever, Steve, Sabbe, Nick, Pattyn, Filip, Van Nieuwerburgh, Filip, Coucke, Paul, Deforce, Dieter, Vandesompele, Jo, Bekaert, Sofie, Hellemans, Jan, Van Criekinge, Wim
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2880033/
https://www.ncbi.nlm.nih.gov/pubmed/20487544
http://dx.doi.org/10.1186/1471-2105-11-269
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author De Schrijver, Joachim M
De Leeneer, Kim
Lefever, Steve
Sabbe, Nick
Pattyn, Filip
Van Nieuwerburgh, Filip
Coucke, Paul
Deforce, Dieter
Vandesompele, Jo
Bekaert, Sofie
Hellemans, Jan
Van Criekinge, Wim
author_facet De Schrijver, Joachim M
De Leeneer, Kim
Lefever, Steve
Sabbe, Nick
Pattyn, Filip
Van Nieuwerburgh, Filip
Coucke, Paul
Deforce, Dieter
Vandesompele, Jo
Bekaert, Sofie
Hellemans, Jan
Van Criekinge, Wim
author_sort De Schrijver, Joachim M
collection PubMed
description 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.
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spelling pubmed-28800332010-06-03 Analysing 454 amplicon resequencing experiments using the modular and database oriented Variant Identification Pipeline De Schrijver, Joachim M De Leeneer, Kim Lefever, Steve Sabbe, Nick Pattyn, Filip Van Nieuwerburgh, Filip Coucke, Paul Deforce, Dieter Vandesompele, Jo Bekaert, Sofie Hellemans, Jan Van Criekinge, Wim BMC Bioinformatics Software 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. BioMed Central 2010-05-20 /pmc/articles/PMC2880033/ /pubmed/20487544 http://dx.doi.org/10.1186/1471-2105-11-269 Text en Copyright ©2010 De Schrijver et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software
De Schrijver, Joachim M
De Leeneer, Kim
Lefever, Steve
Sabbe, Nick
Pattyn, Filip
Van Nieuwerburgh, Filip
Coucke, Paul
Deforce, Dieter
Vandesompele, Jo
Bekaert, Sofie
Hellemans, Jan
Van Criekinge, Wim
Analysing 454 amplicon resequencing experiments using the modular and database oriented Variant Identification Pipeline
title Analysing 454 amplicon resequencing experiments using the modular and database oriented Variant Identification Pipeline
title_full Analysing 454 amplicon resequencing experiments using the modular and database oriented Variant Identification Pipeline
title_fullStr Analysing 454 amplicon resequencing experiments using the modular and database oriented Variant Identification Pipeline
title_full_unstemmed Analysing 454 amplicon resequencing experiments using the modular and database oriented Variant Identification Pipeline
title_short Analysing 454 amplicon resequencing experiments using the modular and database oriented Variant Identification Pipeline
title_sort analysing 454 amplicon resequencing experiments using the modular and database oriented variant identification pipeline
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2880033/
https://www.ncbi.nlm.nih.gov/pubmed/20487544
http://dx.doi.org/10.1186/1471-2105-11-269
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