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Development and validation of Houston Methodist Variant Viewer version 3: updates to our application for interpretation of next-generation sequencing data
OBJECTIVES: Informatics tools that support next-generation sequencing workflows are essential to deliver timely interpretation of somatic variants in cancer. Here, we describe significant updates to our laboratory developed bioinformatics pipelines and data management application termed Houston Meth...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7382636/ https://www.ncbi.nlm.nih.gov/pubmed/32734171 http://dx.doi.org/10.1093/jamiaopen/ooaa004 |
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author | Christensen, Paul A Subedi, Sishir Pepper, Kristi Hendrickson, Heather L Li, Zejuan Thomas, Jessica S Long, S Wesley Olsen, Randall J |
author_facet | Christensen, Paul A Subedi, Sishir Pepper, Kristi Hendrickson, Heather L Li, Zejuan Thomas, Jessica S Long, S Wesley Olsen, Randall J |
author_sort | Christensen, Paul A |
collection | PubMed |
description | OBJECTIVES: Informatics tools that support next-generation sequencing workflows are essential to deliver timely interpretation of somatic variants in cancer. Here, we describe significant updates to our laboratory developed bioinformatics pipelines and data management application termed Houston Methodist Variant Viewer (HMVV). MATERIALS AND METHODS: We collected feature requests and workflow improvement suggestions from the end-users of HMVV version 1. Over 1.5 years, we iteratively implemented these features in five sequential updates to HMVV version 3. RESULTS: We improved the performance and data throughput of the application while reducing the opportunity for manual data entry errors. We enabled end-user workflows for pipeline monitoring, variant interpretation and annotation, and integration with our laboratory information system. System maintenance was improved through enhanced defect reporting, heightened data security, and improved modularity in the code and system environments. DISCUSSION AND CONCLUSION: Validation of each HMVV update was performed according to expert guidelines. We enabled an 8× reduction in the bioinformatics pipeline computation time for our longest running assay. Our molecular pathologists can interpret the assay results at least 2 days sooner than was previously possible. The application and pipeline code are publicly available at https://github.com/hmvv. |
format | Online Article Text |
id | pubmed-7382636 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-73826362020-07-29 Development and validation of Houston Methodist Variant Viewer version 3: updates to our application for interpretation of next-generation sequencing data Christensen, Paul A Subedi, Sishir Pepper, Kristi Hendrickson, Heather L Li, Zejuan Thomas, Jessica S Long, S Wesley Olsen, Randall J JAMIA Open Research and Applications OBJECTIVES: Informatics tools that support next-generation sequencing workflows are essential to deliver timely interpretation of somatic variants in cancer. Here, we describe significant updates to our laboratory developed bioinformatics pipelines and data management application termed Houston Methodist Variant Viewer (HMVV). MATERIALS AND METHODS: We collected feature requests and workflow improvement suggestions from the end-users of HMVV version 1. Over 1.5 years, we iteratively implemented these features in five sequential updates to HMVV version 3. RESULTS: We improved the performance and data throughput of the application while reducing the opportunity for manual data entry errors. We enabled end-user workflows for pipeline monitoring, variant interpretation and annotation, and integration with our laboratory information system. System maintenance was improved through enhanced defect reporting, heightened data security, and improved modularity in the code and system environments. DISCUSSION AND CONCLUSION: Validation of each HMVV update was performed according to expert guidelines. We enabled an 8× reduction in the bioinformatics pipeline computation time for our longest running assay. Our molecular pathologists can interpret the assay results at least 2 days sooner than was previously possible. The application and pipeline code are publicly available at https://github.com/hmvv. Oxford University Press 2020-03-17 /pmc/articles/PMC7382636/ /pubmed/32734171 http://dx.doi.org/10.1093/jamiaopen/ooaa004 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of the American Medical Informatics Association. 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 | Research and Applications Christensen, Paul A Subedi, Sishir Pepper, Kristi Hendrickson, Heather L Li, Zejuan Thomas, Jessica S Long, S Wesley Olsen, Randall J Development and validation of Houston Methodist Variant Viewer version 3: updates to our application for interpretation of next-generation sequencing data |
title | Development and validation of Houston Methodist Variant Viewer version 3: updates to our application for interpretation of next-generation sequencing data |
title_full | Development and validation of Houston Methodist Variant Viewer version 3: updates to our application for interpretation of next-generation sequencing data |
title_fullStr | Development and validation of Houston Methodist Variant Viewer version 3: updates to our application for interpretation of next-generation sequencing data |
title_full_unstemmed | Development and validation of Houston Methodist Variant Viewer version 3: updates to our application for interpretation of next-generation sequencing data |
title_short | Development and validation of Houston Methodist Variant Viewer version 3: updates to our application for interpretation of next-generation sequencing data |
title_sort | development and validation of houston methodist variant viewer version 3: updates to our application for interpretation of next-generation sequencing data |
topic | Research and Applications |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7382636/ https://www.ncbi.nlm.nih.gov/pubmed/32734171 http://dx.doi.org/10.1093/jamiaopen/ooaa004 |
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