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Heat*seq: an interactive web tool for high-throughput sequencing experiment comparison with public data
Summary: Better protocols and decreasing costs have made high-throughput sequencing experiments now accessible even to small experimental laboratories. However, comparing one or few experiments generated by an individual lab to the vast amount of relevant data freely available in the public domain m...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5079476/ https://www.ncbi.nlm.nih.gov/pubmed/27378302 http://dx.doi.org/10.1093/bioinformatics/btw407 |
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author | Devailly, Guillaume Mantsoki, Anna Joshi, Anagha |
author_facet | Devailly, Guillaume Mantsoki, Anna Joshi, Anagha |
author_sort | Devailly, Guillaume |
collection | PubMed |
description | Summary: Better protocols and decreasing costs have made high-throughput sequencing experiments now accessible even to small experimental laboratories. However, comparing one or few experiments generated by an individual lab to the vast amount of relevant data freely available in the public domain might be limited due to lack of bioinformatics expertise. Though several tools, including genome browsers, allow such comparison at a single gene level, they do not provide a genome-wide view. We developed Heat*seq, a web-tool that allows genome scale comparison of high throughput experiments chromatin immuno-precipitation followed by sequencing, RNA-sequencing and Cap Analysis of Gene Expression) provided by a user, to the data in the public domain. Heat*seq currently contains over 12 000 experiments across diverse tissues and cell types in human, mouse and drosophila. Heat*seq displays interactive correlation heatmaps, with an ability to dynamically subset datasets to contextualize user experiments. High quality figures and tables are produced and can be downloaded in multiple formats. Availability and Implementation: Web application: http://www.heatstarseq.roslin.ed.ac.uk/. Source code: https://github.com/gdevailly. Contact: Guillaume.Devailly@roslin.ed.ac.uk or Anagha.Joshi@roslin.ed.ac.uk Supplementary information: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-5079476 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-50794762016-10-26 Heat*seq: an interactive web tool for high-throughput sequencing experiment comparison with public data Devailly, Guillaume Mantsoki, Anna Joshi, Anagha Bioinformatics Applications Notes Summary: Better protocols and decreasing costs have made high-throughput sequencing experiments now accessible even to small experimental laboratories. However, comparing one or few experiments generated by an individual lab to the vast amount of relevant data freely available in the public domain might be limited due to lack of bioinformatics expertise. Though several tools, including genome browsers, allow such comparison at a single gene level, they do not provide a genome-wide view. We developed Heat*seq, a web-tool that allows genome scale comparison of high throughput experiments chromatin immuno-precipitation followed by sequencing, RNA-sequencing and Cap Analysis of Gene Expression) provided by a user, to the data in the public domain. Heat*seq currently contains over 12 000 experiments across diverse tissues and cell types in human, mouse and drosophila. Heat*seq displays interactive correlation heatmaps, with an ability to dynamically subset datasets to contextualize user experiments. High quality figures and tables are produced and can be downloaded in multiple formats. Availability and Implementation: Web application: http://www.heatstarseq.roslin.ed.ac.uk/. Source code: https://github.com/gdevailly. Contact: Guillaume.Devailly@roslin.ed.ac.uk or Anagha.Joshi@roslin.ed.ac.uk Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2016-11-01 2016-07-04 /pmc/articles/PMC5079476/ /pubmed/27378302 http://dx.doi.org/10.1093/bioinformatics/btw407 Text en © The Author 2016. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes Devailly, Guillaume Mantsoki, Anna Joshi, Anagha Heat*seq: an interactive web tool for high-throughput sequencing experiment comparison with public data |
title | Heat*seq: an interactive web tool for high-throughput sequencing experiment comparison with public data |
title_full | Heat*seq: an interactive web tool for high-throughput sequencing experiment comparison with public data |
title_fullStr | Heat*seq: an interactive web tool for high-throughput sequencing experiment comparison with public data |
title_full_unstemmed | Heat*seq: an interactive web tool for high-throughput sequencing experiment comparison with public data |
title_short | Heat*seq: an interactive web tool for high-throughput sequencing experiment comparison with public data |
title_sort | heat*seq: an interactive web tool for high-throughput sequencing experiment comparison with public data |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5079476/ https://www.ncbi.nlm.nih.gov/pubmed/27378302 http://dx.doi.org/10.1093/bioinformatics/btw407 |
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