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  3. Master Program in Global Agriculture Technology and Genomic Science (Global ATGS) / 全球農業科技與基因體科學碩士學位學程
  4. Tasuke1: A web-based platform for exploring GWAS results and large-scale resequencing data
 
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Tasuke1: A web-based platform for exploring GWAS results and large-scale resequencing data

Journal
DNA Research
Journal Volume
26
Journal Issue
6
Date Issued
2019-12-01
Author(s)
Kumagai, Masahiko
Nishikawa, Daiki
Kawahara, Yoshihiro
Wakimoto, Hironobu
Itoh, Ryutaro
Tabei, Norio
Tanaka, Tsuyoshi
TAKESHI ITOH  
DOI
10.1093/dnares/dsz022
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078685851&doi=10.1093%2fdnares%2fdsz022&partnerID=40&md5=6b44ec85c6bf30844f07c2e323f6900a
https://scholars.lib.ntu.edu.tw/handle/123456789/639063
URL
https://api.elsevier.com/content/abstract/scopus_id/85078685851
Abstract
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 TASUKEþ (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.
Subjects
Data sharing | Genome browser | GWAS | Phylogenetic analysis | Resequencing data
Type
journal article

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