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MoMI-G: modular multi-scale integrated genome graph browser
BACKGROUND: Genome graph is an emerging approach for representing structural variants on genomes with branches. For example, representing structural variants of cancer genomes as a genome graph is more natural than representing such genomes as differences from the linear reference genome. While more...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6833150/ https://www.ncbi.nlm.nih.gov/pubmed/31690272 http://dx.doi.org/10.1186/s12859-019-3145-2 |
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author | Yokoyama, Toshiyuki T. Sakamoto, Yoshitaka Seki, Masahide Suzuki, Yutaka Kasahara, Masahiro |
author_facet | Yokoyama, Toshiyuki T. Sakamoto, Yoshitaka Seki, Masahide Suzuki, Yutaka Kasahara, Masahiro |
author_sort | Yokoyama, Toshiyuki T. |
collection | PubMed |
description | BACKGROUND: Genome graph is an emerging approach for representing structural variants on genomes with branches. For example, representing structural variants of cancer genomes as a genome graph is more natural than representing such genomes as differences from the linear reference genome. While more and more structural variants are being identified by long-read sequencing, many of them are difficult to visualize using existing structural variants visualization tools. To this end, visualization method for large genome graphs such as human cancer genome graphs is demanded. RESULTS: We developed MOdular Multi-scale Integrated Genome graph browser, MoMI-G, a web-based genome graph browser that can visualize genome graphs with structural variants and supporting evidences such as read alignments, read depth, and annotations. This browser allows more intuitive recognition of large, nested, and potentially more complex structural variations. MoMI-G has view modules for different scales, which allow users to view the whole genome down to nucleotide-level alignments of long reads. Alignments spanning reference alleles and those spanning alternative alleles are shown in the same view. Users can customize the view, if they are not satisfied with the preset views. In addition, MoMI-G has Interval Card Deck, a feature for rapid manual inspection of hundreds of structural variants. Herein, we describe the utility of MoMI-G by using representative examples of large and nested structural variations found in two cell lines, LC-2/ad and CHM1. CONCLUSIONS: Users can inspect complex and large structural variations found by long-read analysis in large genomes such as human genomes more smoothly and more intuitively. In addition, users can easily filter out false positives by manually inspecting hundreds of identified structural variants with supporting long-read alignments and annotations in a short time. SOFTWARE AVAILABILITY: MoMI-G is freely available at https://github.com/MoMI-G/MoMI-G under the MIT license. |
format | Online Article Text |
id | pubmed-6833150 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-68331502019-11-08 MoMI-G: modular multi-scale integrated genome graph browser Yokoyama, Toshiyuki T. Sakamoto, Yoshitaka Seki, Masahide Suzuki, Yutaka Kasahara, Masahiro BMC Bioinformatics Software BACKGROUND: Genome graph is an emerging approach for representing structural variants on genomes with branches. For example, representing structural variants of cancer genomes as a genome graph is more natural than representing such genomes as differences from the linear reference genome. While more and more structural variants are being identified by long-read sequencing, many of them are difficult to visualize using existing structural variants visualization tools. To this end, visualization method for large genome graphs such as human cancer genome graphs is demanded. RESULTS: We developed MOdular Multi-scale Integrated Genome graph browser, MoMI-G, a web-based genome graph browser that can visualize genome graphs with structural variants and supporting evidences such as read alignments, read depth, and annotations. This browser allows more intuitive recognition of large, nested, and potentially more complex structural variations. MoMI-G has view modules for different scales, which allow users to view the whole genome down to nucleotide-level alignments of long reads. Alignments spanning reference alleles and those spanning alternative alleles are shown in the same view. Users can customize the view, if they are not satisfied with the preset views. In addition, MoMI-G has Interval Card Deck, a feature for rapid manual inspection of hundreds of structural variants. Herein, we describe the utility of MoMI-G by using representative examples of large and nested structural variations found in two cell lines, LC-2/ad and CHM1. CONCLUSIONS: Users can inspect complex and large structural variations found by long-read analysis in large genomes such as human genomes more smoothly and more intuitively. In addition, users can easily filter out false positives by manually inspecting hundreds of identified structural variants with supporting long-read alignments and annotations in a short time. SOFTWARE AVAILABILITY: MoMI-G is freely available at https://github.com/MoMI-G/MoMI-G under the MIT license. BioMed Central 2019-11-05 /pmc/articles/PMC6833150/ /pubmed/31690272 http://dx.doi.org/10.1186/s12859-019-3145-2 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 Yokoyama, Toshiyuki T. Sakamoto, Yoshitaka Seki, Masahide Suzuki, Yutaka Kasahara, Masahiro MoMI-G: modular multi-scale integrated genome graph browser |
title | MoMI-G: modular multi-scale integrated genome graph browser |
title_full | MoMI-G: modular multi-scale integrated genome graph browser |
title_fullStr | MoMI-G: modular multi-scale integrated genome graph browser |
title_full_unstemmed | MoMI-G: modular multi-scale integrated genome graph browser |
title_short | MoMI-G: modular multi-scale integrated genome graph browser |
title_sort | momi-g: modular multi-scale integrated genome graph browser |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6833150/ https://www.ncbi.nlm.nih.gov/pubmed/31690272 http://dx.doi.org/10.1186/s12859-019-3145-2 |
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