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NGS-pipe: a flexible, easily extendable and highly configurable framework for NGS analysis
MOTIVATION: Next-generation sequencing is now an established method in genomics, and massive amounts of sequencing data are being generated on a regular basis. Analysis of the sequencing data is typically performed by lab-specific in-house solutions, but the agreement of results from different facil...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870795/ https://www.ncbi.nlm.nih.gov/pubmed/28968639 http://dx.doi.org/10.1093/bioinformatics/btx540 |
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author | Singer, Jochen Ruscheweyh, Hans-Joachim Hofmann, Ariane L Thurnherr, Thomas Singer, Franziska Toussaint, Nora C Ng, Charlotte K Y Piscuoglio, Salvatore Beisel, Christian Christofori, Gerhard Dummer, Reinhard Hall, Michael N Krek, Wilhelm Levesque, Mitchell P Manz, Markus G Moch, Holger Papassotiropoulos, Andreas Stekhoven, Daniel J Wild, Peter Wüst, Thomas Rinn, Bernd Beerenwinkel, Niko |
author_facet | Singer, Jochen Ruscheweyh, Hans-Joachim Hofmann, Ariane L Thurnherr, Thomas Singer, Franziska Toussaint, Nora C Ng, Charlotte K Y Piscuoglio, Salvatore Beisel, Christian Christofori, Gerhard Dummer, Reinhard Hall, Michael N Krek, Wilhelm Levesque, Mitchell P Manz, Markus G Moch, Holger Papassotiropoulos, Andreas Stekhoven, Daniel J Wild, Peter Wüst, Thomas Rinn, Bernd Beerenwinkel, Niko |
author_sort | Singer, Jochen |
collection | PubMed |
description | MOTIVATION: Next-generation sequencing is now an established method in genomics, and massive amounts of sequencing data are being generated on a regular basis. Analysis of the sequencing data is typically performed by lab-specific in-house solutions, but the agreement of results from different facilities is often small. General standards for quality control, reproducibility and documentation are missing. RESULTS: We developed NGS-pipe, a flexible, transparent and easy-to-use framework for the design of pipelines to analyze whole-exome, whole-genome and transcriptome sequencing data. NGS-pipe facilitates the harmonization of genomic data analysis by supporting quality control, documentation, reproducibility, parallelization and easy adaptation to other NGS experiments. AVAILABILITY AND IMPLEMENTATION: https://github.com/cbg-ethz/NGS-pipe |
format | Online Article Text |
id | pubmed-5870795 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-58707952018-03-29 NGS-pipe: a flexible, easily extendable and highly configurable framework for NGS analysis Singer, Jochen Ruscheweyh, Hans-Joachim Hofmann, Ariane L Thurnherr, Thomas Singer, Franziska Toussaint, Nora C Ng, Charlotte K Y Piscuoglio, Salvatore Beisel, Christian Christofori, Gerhard Dummer, Reinhard Hall, Michael N Krek, Wilhelm Levesque, Mitchell P Manz, Markus G Moch, Holger Papassotiropoulos, Andreas Stekhoven, Daniel J Wild, Peter Wüst, Thomas Rinn, Bernd Beerenwinkel, Niko Bioinformatics Applications Notes MOTIVATION: Next-generation sequencing is now an established method in genomics, and massive amounts of sequencing data are being generated on a regular basis. Analysis of the sequencing data is typically performed by lab-specific in-house solutions, but the agreement of results from different facilities is often small. General standards for quality control, reproducibility and documentation are missing. RESULTS: We developed NGS-pipe, a flexible, transparent and easy-to-use framework for the design of pipelines to analyze whole-exome, whole-genome and transcriptome sequencing data. NGS-pipe facilitates the harmonization of genomic data analysis by supporting quality control, documentation, reproducibility, parallelization and easy adaptation to other NGS experiments. AVAILABILITY AND IMPLEMENTATION: https://github.com/cbg-ethz/NGS-pipe Oxford University Press 2018-01-01 2017-08-28 /pmc/articles/PMC5870795/ /pubmed/28968639 http://dx.doi.org/10.1093/bioinformatics/btx540 Text en © The Author 2017. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Applications Notes Singer, Jochen Ruscheweyh, Hans-Joachim Hofmann, Ariane L Thurnherr, Thomas Singer, Franziska Toussaint, Nora C Ng, Charlotte K Y Piscuoglio, Salvatore Beisel, Christian Christofori, Gerhard Dummer, Reinhard Hall, Michael N Krek, Wilhelm Levesque, Mitchell P Manz, Markus G Moch, Holger Papassotiropoulos, Andreas Stekhoven, Daniel J Wild, Peter Wüst, Thomas Rinn, Bernd Beerenwinkel, Niko NGS-pipe: a flexible, easily extendable and highly configurable framework for NGS analysis |
title | NGS-pipe: a flexible, easily extendable and highly configurable framework for NGS analysis |
title_full | NGS-pipe: a flexible, easily extendable and highly configurable framework for NGS analysis |
title_fullStr | NGS-pipe: a flexible, easily extendable and highly configurable framework for NGS analysis |
title_full_unstemmed | NGS-pipe: a flexible, easily extendable and highly configurable framework for NGS analysis |
title_short | NGS-pipe: a flexible, easily extendable and highly configurable framework for NGS analysis |
title_sort | ngs-pipe: a flexible, easily extendable and highly configurable framework for ngs analysis |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870795/ https://www.ncbi.nlm.nih.gov/pubmed/28968639 http://dx.doi.org/10.1093/bioinformatics/btx540 |
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