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SWAV: a web-based visualization browser for sliding window analysis
Sliding window analysis has been extensively applied in evolutionary biology. With the development of the high-throughput DNA sequencing of organisms at the population level, an application that is dedicated to visualizing population genetic test statistics at the genomic level is needed. We have de...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6954255/ https://www.ncbi.nlm.nih.gov/pubmed/31924845 http://dx.doi.org/10.1038/s41598-019-57038-x |
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author | Zhu, Zhenglin Wang, Yawang Zhou, Xichuan Yang, Liuqing Meng, Geng Zhang, Ze |
author_facet | Zhu, Zhenglin Wang, Yawang Zhou, Xichuan Yang, Liuqing Meng, Geng Zhang, Ze |
author_sort | Zhu, Zhenglin |
collection | PubMed |
description | Sliding window analysis has been extensively applied in evolutionary biology. With the development of the high-throughput DNA sequencing of organisms at the population level, an application that is dedicated to visualizing population genetic test statistics at the genomic level is needed. We have developed the sliding window analysis viewer (SWAV), which is a web-based program that can be used to integrate, view and browse test statistics and perform genome annotation. In addition to browsing, SAV can mark, generate and customize statistical images and search by sequence alignment, position or gene name. These features facilitate the effectiveness of sliding window analysis. As an example application, yeast and silkworm resequencing data are analyzed with SWAV. The SWAV package, user manual and usage demo are available at http://swav.popgenetics.net. |
format | Online Article Text |
id | pubmed-6954255 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-69542552020-01-15 SWAV: a web-based visualization browser for sliding window analysis Zhu, Zhenglin Wang, Yawang Zhou, Xichuan Yang, Liuqing Meng, Geng Zhang, Ze Sci Rep Article Sliding window analysis has been extensively applied in evolutionary biology. With the development of the high-throughput DNA sequencing of organisms at the population level, an application that is dedicated to visualizing population genetic test statistics at the genomic level is needed. We have developed the sliding window analysis viewer (SWAV), which is a web-based program that can be used to integrate, view and browse test statistics and perform genome annotation. In addition to browsing, SAV can mark, generate and customize statistical images and search by sequence alignment, position or gene name. These features facilitate the effectiveness of sliding window analysis. As an example application, yeast and silkworm resequencing data are analyzed with SWAV. The SWAV package, user manual and usage demo are available at http://swav.popgenetics.net. Nature Publishing Group UK 2020-01-10 /pmc/articles/PMC6954255/ /pubmed/31924845 http://dx.doi.org/10.1038/s41598-019-57038-x Text en © The Author(s) 2020 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Zhu, Zhenglin Wang, Yawang Zhou, Xichuan Yang, Liuqing Meng, Geng Zhang, Ze SWAV: a web-based visualization browser for sliding window analysis |
title | SWAV: a web-based visualization browser for sliding window analysis |
title_full | SWAV: a web-based visualization browser for sliding window analysis |
title_fullStr | SWAV: a web-based visualization browser for sliding window analysis |
title_full_unstemmed | SWAV: a web-based visualization browser for sliding window analysis |
title_short | SWAV: a web-based visualization browser for sliding window analysis |
title_sort | swav: a web-based visualization browser for sliding window analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6954255/ https://www.ncbi.nlm.nih.gov/pubmed/31924845 http://dx.doi.org/10.1038/s41598-019-57038-x |
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