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MySeq: privacy-protecting browser-based personal Genome analysis for genomics education and exploration

BACKGROUND: The complexity of genome informatics is a recurring challenge for genome exploration and analysis by students and other non-experts. This complexity creates a barrier to wider implementation of experiential genomics education, even in settings with substantial computational resources and...

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Autores principales: Linderman, Michael D., McElroy, Leo, Chang, Laura
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6882182/
https://www.ncbi.nlm.nih.gov/pubmed/31775760
http://dx.doi.org/10.1186/s12920-019-0615-3
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author Linderman, Michael D.
McElroy, Leo
Chang, Laura
author_facet Linderman, Michael D.
McElroy, Leo
Chang, Laura
author_sort Linderman, Michael D.
collection PubMed
description BACKGROUND: The complexity of genome informatics is a recurring challenge for genome exploration and analysis by students and other non-experts. This complexity creates a barrier to wider implementation of experiential genomics education, even in settings with substantial computational resources and expertise. Reducing the need for specialized software tools will increase access to hands-on genomics pedagogy. RESULTS: MySeq is a React.js single-page web application for privacy-protecting interactive personal genome analysis. All analyses are performed entirely in the user’s web browser eliminating the need to install and use specialized software tools or to upload sensitive data to an external web service. MySeq leverages Tabix-indexing to efficiently query whole genome-scale variant call format (VCF) files stored locally or available remotely via HTTP(s) without loading the entire file. MySeq currently implements variant querying and annotation, physical trait prediction, pharmacogenomic, polygenic disease risk and ancestry analyses to provide representative pedagogical examples; and can be readily extended with new analysis or visualization components. CONCLUSIONS: MySeq supports multiple pedagogical approaches including independent exploration and interactive online tutorials. MySeq has been successfully employed in an undergraduate human genome analysis course where it reduced the barriers-to-entry for hands-on human genome analysis.
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spelling pubmed-68821822019-12-03 MySeq: privacy-protecting browser-based personal Genome analysis for genomics education and exploration Linderman, Michael D. McElroy, Leo Chang, Laura BMC Med Genomics Software BACKGROUND: The complexity of genome informatics is a recurring challenge for genome exploration and analysis by students and other non-experts. This complexity creates a barrier to wider implementation of experiential genomics education, even in settings with substantial computational resources and expertise. Reducing the need for specialized software tools will increase access to hands-on genomics pedagogy. RESULTS: MySeq is a React.js single-page web application for privacy-protecting interactive personal genome analysis. All analyses are performed entirely in the user’s web browser eliminating the need to install and use specialized software tools or to upload sensitive data to an external web service. MySeq leverages Tabix-indexing to efficiently query whole genome-scale variant call format (VCF) files stored locally or available remotely via HTTP(s) without loading the entire file. MySeq currently implements variant querying and annotation, physical trait prediction, pharmacogenomic, polygenic disease risk and ancestry analyses to provide representative pedagogical examples; and can be readily extended with new analysis or visualization components. CONCLUSIONS: MySeq supports multiple pedagogical approaches including independent exploration and interactive online tutorials. MySeq has been successfully employed in an undergraduate human genome analysis course where it reduced the barriers-to-entry for hands-on human genome analysis. BioMed Central 2019-11-27 /pmc/articles/PMC6882182/ /pubmed/31775760 http://dx.doi.org/10.1186/s12920-019-0615-3 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Software
Linderman, Michael D.
McElroy, Leo
Chang, Laura
MySeq: privacy-protecting browser-based personal Genome analysis for genomics education and exploration
title MySeq: privacy-protecting browser-based personal Genome analysis for genomics education and exploration
title_full MySeq: privacy-protecting browser-based personal Genome analysis for genomics education and exploration
title_fullStr MySeq: privacy-protecting browser-based personal Genome analysis for genomics education and exploration
title_full_unstemmed MySeq: privacy-protecting browser-based personal Genome analysis for genomics education and exploration
title_short MySeq: privacy-protecting browser-based personal Genome analysis for genomics education and exploration
title_sort myseq: privacy-protecting browser-based personal genome analysis for genomics education and exploration
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6882182/
https://www.ncbi.nlm.nih.gov/pubmed/31775760
http://dx.doi.org/10.1186/s12920-019-0615-3
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