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TASUKE+: a web-based platform for exploring GWAS results and large-scale resequencing data
Recent revolutionary advancements in sequencing technologies have made it possible to obtain mass quantities of genome-scale sequence data in a cost-effective manner and have drastically altered molecular biological studies. To utilize these sequence data, genome-wide association studies (GWASs) hav...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7207078/ https://www.ncbi.nlm.nih.gov/pubmed/31539030 http://dx.doi.org/10.1093/dnares/dsz022 |
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author | Kumagai, Masahiko Nishikawa, Daiki Kawahara, Yoshihiro Wakimoto, Hironobu Itoh, Ryutaro Tabei, Norio Tanaka, Tsuyoshi Itoh, Takeshi |
author_facet | Kumagai, Masahiko Nishikawa, Daiki Kawahara, Yoshihiro Wakimoto, Hironobu Itoh, Ryutaro Tabei, Norio Tanaka, Tsuyoshi Itoh, Takeshi |
author_sort | Kumagai, Masahiko |
collection | PubMed |
description | Recent revolutionary advancements in sequencing technologies have made it possible to obtain mass quantities of genome-scale sequence data in a cost-effective manner and have drastically altered molecular biological studies. To utilize these sequence data, genome-wide association studies (GWASs) have become increasingly important. Hence, there is an urgent need to develop a visualization tool that enables efficient data retrieval, integration of GWAS results with diverse information and rapid public release of such large-scale genotypic and phenotypic data. We developed a web-based genome browser TASUKE+ (https://tasuke.dna.affrc.go.jp/), which is equipped with the following functions: (i) interactive GWAS results visualization with genome resequencing data and annotation information, (ii) PCR primer design, (iii) phylogenetic tree reconstruction and (iv) data sharing via the web. GWAS results can be displayed in parallel with polymorphism data, read depths and annotation information in an interactive and scalable manner. Users can design PCR primers for polymorphic sites of interest. In addition, a molecular phylogenetic tree of any region can be reconstructed so that the overall relationship among the examined genomes can be understood intuitively at a glance. All functions are implemented through user-friendly web-based interfaces so that researchers can easily share data with collaborators in remote places without extensive bioinformatics knowledge. |
format | Online Article Text |
id | pubmed-7207078 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-72070782020-05-13 TASUKE+: a web-based platform for exploring GWAS results and large-scale resequencing data Kumagai, Masahiko Nishikawa, Daiki Kawahara, Yoshihiro Wakimoto, Hironobu Itoh, Ryutaro Tabei, Norio Tanaka, Tsuyoshi Itoh, Takeshi DNA Res Full Papers Recent revolutionary advancements in sequencing technologies have made it possible to obtain mass quantities of genome-scale sequence data in a cost-effective manner and have drastically altered molecular biological studies. To utilize these sequence data, genome-wide association studies (GWASs) have become increasingly important. Hence, there is an urgent need to develop a visualization tool that enables efficient data retrieval, integration of GWAS results with diverse information and rapid public release of such large-scale genotypic and phenotypic data. We developed a web-based genome browser TASUKE+ (https://tasuke.dna.affrc.go.jp/), which is equipped with the following functions: (i) interactive GWAS results visualization with genome resequencing data and annotation information, (ii) PCR primer design, (iii) phylogenetic tree reconstruction and (iv) data sharing via the web. GWAS results can be displayed in parallel with polymorphism data, read depths and annotation information in an interactive and scalable manner. Users can design PCR primers for polymorphic sites of interest. In addition, a molecular phylogenetic tree of any region can be reconstructed so that the overall relationship among the examined genomes can be understood intuitively at a glance. All functions are implemented through user-friendly web-based interfaces so that researchers can easily share data with collaborators in remote places without extensive bioinformatics knowledge. Oxford University Press 2019-12 2019-09-20 /pmc/articles/PMC7207078/ /pubmed/31539030 http://dx.doi.org/10.1093/dnares/dsz022 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Kazusa DNA Research Institute. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Full Papers Kumagai, Masahiko Nishikawa, Daiki Kawahara, Yoshihiro Wakimoto, Hironobu Itoh, Ryutaro Tabei, Norio Tanaka, Tsuyoshi Itoh, Takeshi TASUKE+: a web-based platform for exploring GWAS results and large-scale resequencing data |
title | TASUKE+: a web-based platform for exploring GWAS results and large-scale resequencing data |
title_full | TASUKE+: a web-based platform for exploring GWAS results and large-scale resequencing data |
title_fullStr | TASUKE+: a web-based platform for exploring GWAS results and large-scale resequencing data |
title_full_unstemmed | TASUKE+: a web-based platform for exploring GWAS results and large-scale resequencing data |
title_short | TASUKE+: a web-based platform for exploring GWAS results and large-scale resequencing data |
title_sort | tasuke+: a web-based platform for exploring gwas results and large-scale resequencing data |
topic | Full Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7207078/ https://www.ncbi.nlm.nih.gov/pubmed/31539030 http://dx.doi.org/10.1093/dnares/dsz022 |
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