ArticleDNA research : an international journal for rapid publication of reports on genes and genomes2019
TASUKE+: a web-based platform for exploring genome-wide association studies results and large-scale resequencing data.
Article in DNA research : an international journal for rapid publication of reports on genes and genomes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
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- GWAS and Candidate Gene Prediction of Elemental Accumulation Traits in Rice Using a Multiparental Population.Rice (New York, N.Y.) · 2026Article
- Red pericarp trait, common to weedy rice, contributes to freezing tolerance of seeds and their ability to overwinter in soil.AoB PLANTS · 2026Article
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- The current state of the use of DNA markers for improving the efficiency of rice breeding in Japan.Breeding science · 2026Article
- Current status and future perspective of genomics-assisted breeding in wheat (Breeding science · 2026Article
- Mapping QTLs for PHS resistance and development of a deep learning model to measure PHS rate in japonica rice.The plant genome · 2025Article
- Gene Pyramiding Strategies for Sink Size and Source Capacity for High-Yield Japonica Rice Breeding.Rice (New York, N.Y.) · 2025Review
- Chromosome-Scale Genome Assembly and Characterization of Top-Quality Japanese Green Tea Cultivar 'Seimei'.Plant & cell physiology · 2024Article
- Development of SNP genotyping assays for heading date in rice.Breeding science · 2024Article
- THB1, a putative transmembrane protein that causes hybrid breakdown in rice.Breeding science · 2024Article
- Genomic diversity of the Japanese wheat core collection and selection of alleles for agronomic traits in the breeding process.Breeding science · 2024Article
- Seed abortion caused by the combination of two duplicate genes in the progeny from the cross betweenBreeding science · 2024Article
- Novel Soybean Variety Lacking Raffinose Synthase 2 Activity.ACS omega · 2024Article
- Genome- and Transcriptome-wide Association Studies to Discover Candidate Genes for Diverse Root Phenotypes in Cultivated Rice.Rice (New York, N.Y.) · 2023Article
- Plant GARDEN: a portal website for cross-searching between different types of genomic and genetic resources in a wide variety of plant species.BMC plant biology · 2023Article
- MutantBreeding science · 2023Article
- Current Advances and Future Prospects for Molecular Research for Agronomically Important Traits in Rice.International journal of molecular sciences · 2022Article
- Characterization and QTL Mapping of a Major Field Resistance Locus for Bacterial Blight in Rice.Plants (Basel, Switzerland) · 2022Article
Corrections and comments
- Erratum issued
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
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 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.
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