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DNAseq Workflow in a Diagnostic Context and an Example of a User Friendly Implementation
Over recent years next generation sequencing (NGS) technologies evolved from costly tools used by very few, to a much more accessible and economically viable technology. Through this recently gained popularity, its use-cases expanded from research environments into clinical settings. But the technic...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4475531/ https://www.ncbi.nlm.nih.gov/pubmed/26137478 http://dx.doi.org/10.1155/2015/403497 |
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author | Wolf, Beat Kuonen, Pierre Dandekar, Thomas Atlan, David |
author_facet | Wolf, Beat Kuonen, Pierre Dandekar, Thomas Atlan, David |
author_sort | Wolf, Beat |
collection | PubMed |
description | Over recent years next generation sequencing (NGS) technologies evolved from costly tools used by very few, to a much more accessible and economically viable technology. Through this recently gained popularity, its use-cases expanded from research environments into clinical settings. But the technical know-how and infrastructure required to analyze the data remain an obstacle for a wider adoption of this technology, especially in smaller laboratories. We present GensearchNGS, a commercial DNAseq software suite distributed by Phenosystems SA. The focus of GensearchNGS is the optimal usage of already existing infrastructure, while keeping its use simple. This is achieved through the integration of existing tools in a comprehensive software environment, as well as custom algorithms developed with the restrictions of limited infrastructures in mind. This includes the possibility to connect multiple computers to speed up computing intensive parts of the analysis such as sequence alignments. We present a typical DNAseq workflow for NGS data analysis and the approach GensearchNGS takes to implement it. The presented workflow goes from raw data quality control to the final variant report. This includes features such as gene panels and the integration of online databases, like Ensembl for annotations or Cafe Variome for variant sharing. |
format | Online Article Text |
id | pubmed-4475531 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-44755312015-07-01 DNAseq Workflow in a Diagnostic Context and an Example of a User Friendly Implementation Wolf, Beat Kuonen, Pierre Dandekar, Thomas Atlan, David Biomed Res Int Research Article Over recent years next generation sequencing (NGS) technologies evolved from costly tools used by very few, to a much more accessible and economically viable technology. Through this recently gained popularity, its use-cases expanded from research environments into clinical settings. But the technical know-how and infrastructure required to analyze the data remain an obstacle for a wider adoption of this technology, especially in smaller laboratories. We present GensearchNGS, a commercial DNAseq software suite distributed by Phenosystems SA. The focus of GensearchNGS is the optimal usage of already existing infrastructure, while keeping its use simple. This is achieved through the integration of existing tools in a comprehensive software environment, as well as custom algorithms developed with the restrictions of limited infrastructures in mind. This includes the possibility to connect multiple computers to speed up computing intensive parts of the analysis such as sequence alignments. We present a typical DNAseq workflow for NGS data analysis and the approach GensearchNGS takes to implement it. The presented workflow goes from raw data quality control to the final variant report. This includes features such as gene panels and the integration of online databases, like Ensembl for annotations or Cafe Variome for variant sharing. Hindawi Publishing Corporation 2015 2015-06-07 /pmc/articles/PMC4475531/ /pubmed/26137478 http://dx.doi.org/10.1155/2015/403497 Text en Copyright © 2015 Beat Wolf et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Wolf, Beat Kuonen, Pierre Dandekar, Thomas Atlan, David DNAseq Workflow in a Diagnostic Context and an Example of a User Friendly Implementation |
title | DNAseq Workflow in a Diagnostic Context and an Example of a User Friendly Implementation |
title_full | DNAseq Workflow in a Diagnostic Context and an Example of a User Friendly Implementation |
title_fullStr | DNAseq Workflow in a Diagnostic Context and an Example of a User Friendly Implementation |
title_full_unstemmed | DNAseq Workflow in a Diagnostic Context and an Example of a User Friendly Implementation |
title_short | DNAseq Workflow in a Diagnostic Context and an Example of a User Friendly Implementation |
title_sort | dnaseq workflow in a diagnostic context and an example of a user friendly implementation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4475531/ https://www.ncbi.nlm.nih.gov/pubmed/26137478 http://dx.doi.org/10.1155/2015/403497 |
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