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Search and comparison of (epi)genomic feature patterns in multiple genome browser tracks
BACKGROUND: Genome browsers are widely used for locating interesting genomic regions, but their interactive use is obviously limited to inspecting short genomic portions. An ideal interaction is to provide patterns of regions on the browser, and then extract other genomic regions over the whole geno...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7574191/ https://www.ncbi.nlm.nih.gov/pubmed/33076821 http://dx.doi.org/10.1186/s12859-020-03781-2 |
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author | Ceol, Arnaud Montanari, Piero Bartolini, Ilaria Ceri, Stefano Ciaccia, Paolo Patella, Marco Masseroli, Marco |
author_facet | Ceol, Arnaud Montanari, Piero Bartolini, Ilaria Ceri, Stefano Ciaccia, Paolo Patella, Marco Masseroli, Marco |
author_sort | Ceol, Arnaud |
collection | PubMed |
description | BACKGROUND: Genome browsers are widely used for locating interesting genomic regions, but their interactive use is obviously limited to inspecting short genomic portions. An ideal interaction is to provide patterns of regions on the browser, and then extract other genomic regions over the whole genome where such patterns occur, ranked by similarity. RESULTS: We developed SimSearch, an optimized pattern-search method and an open source plugin for the Integrated Genome Browser (IGB), to find genomic region sets that are similar to a given region pattern. It provides efficient visual genome-wide analytics computation in large datasets; the plugin supports intuitive user interactions for selecting an interesting pattern on IGB tracks and visualizing the computed occurrences of similar patterns along the entire genome. SimSearch also includes functions for the annotation and enrichment of results, and is enhanced with a Quickload repository including numerous epigenomic feature datasets from ENCODE and Roadmap Epigenomics. The paper also includes some use cases to show multiple genome-wide analyses of biological interest, which can be easily performed by taking advantage of the presented approach. CONCLUSIONS: The novel SimSearch method provides innovative support for effective genome-wide pattern search and visualization; its relevance and practical usefulness is demonstrated through a number of significant use cases of biological interest. The SimSearch IGB plugin, documentation, and code are freely available at https://deib-geco.github.io/simsearch-app/ and https://github.com/DEIB-GECO/simsearch-app/. |
format | Online Article Text |
id | pubmed-7574191 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-75741912020-10-20 Search and comparison of (epi)genomic feature patterns in multiple genome browser tracks Ceol, Arnaud Montanari, Piero Bartolini, Ilaria Ceri, Stefano Ciaccia, Paolo Patella, Marco Masseroli, Marco BMC Bioinformatics Software BACKGROUND: Genome browsers are widely used for locating interesting genomic regions, but their interactive use is obviously limited to inspecting short genomic portions. An ideal interaction is to provide patterns of regions on the browser, and then extract other genomic regions over the whole genome where such patterns occur, ranked by similarity. RESULTS: We developed SimSearch, an optimized pattern-search method and an open source plugin for the Integrated Genome Browser (IGB), to find genomic region sets that are similar to a given region pattern. It provides efficient visual genome-wide analytics computation in large datasets; the plugin supports intuitive user interactions for selecting an interesting pattern on IGB tracks and visualizing the computed occurrences of similar patterns along the entire genome. SimSearch also includes functions for the annotation and enrichment of results, and is enhanced with a Quickload repository including numerous epigenomic feature datasets from ENCODE and Roadmap Epigenomics. The paper also includes some use cases to show multiple genome-wide analyses of biological interest, which can be easily performed by taking advantage of the presented approach. CONCLUSIONS: The novel SimSearch method provides innovative support for effective genome-wide pattern search and visualization; its relevance and practical usefulness is demonstrated through a number of significant use cases of biological interest. The SimSearch IGB plugin, documentation, and code are freely available at https://deib-geco.github.io/simsearch-app/ and https://github.com/DEIB-GECO/simsearch-app/. BioMed Central 2020-10-19 /pmc/articles/PMC7574191/ /pubmed/33076821 http://dx.doi.org/10.1186/s12859-020-03781-2 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data. |
spellingShingle | Software Ceol, Arnaud Montanari, Piero Bartolini, Ilaria Ceri, Stefano Ciaccia, Paolo Patella, Marco Masseroli, Marco Search and comparison of (epi)genomic feature patterns in multiple genome browser tracks |
title | Search and comparison of (epi)genomic feature patterns in multiple genome browser tracks |
title_full | Search and comparison of (epi)genomic feature patterns in multiple genome browser tracks |
title_fullStr | Search and comparison of (epi)genomic feature patterns in multiple genome browser tracks |
title_full_unstemmed | Search and comparison of (epi)genomic feature patterns in multiple genome browser tracks |
title_short | Search and comparison of (epi)genomic feature patterns in multiple genome browser tracks |
title_sort | search and comparison of (epi)genomic feature patterns in multiple genome browser tracks |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7574191/ https://www.ncbi.nlm.nih.gov/pubmed/33076821 http://dx.doi.org/10.1186/s12859-020-03781-2 |
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