GreenPhylDB v5: a comparative pangenomic database for plant genomes
- PMID: 33237299
- PMCID: PMC7779052
- DOI: 10.1093/nar/gkaa1068
GreenPhylDB v5: a comparative pangenomic database for plant genomes
Erratum in
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Correction to 'GreenPhylDB v5: a comparative pangenomic database for plant genomes'.Nucleic Acids Res. 2021 Jul 9;49(12):7203. doi: 10.1093/nar/gkab564. Nucleic Acids Res. 2021. PMID: 34161571 Free PMC article. No abstract available.
Abstract
Comparative genomics is the analysis of genomic relationships among different species and serves as a significant base for evolutionary and functional genomic studies. GreenPhylDB (https://www.greenphyl.org) is a database designed to facilitate the exploration of gene families and homologous relationships among plant genomes, including staple crops critically important for global food security. GreenPhylDB is available since 2007, after the release of the Arabidopsis thaliana and Oryza sativa genomes and has undergone multiple releases. With the number of plant genomes currently available, it becomes challenging to select a single reference for comparative genomics studies but there is still a lack of databases taking advantage several genomes by species for orthology detection. GreenPhylDBv5 introduces the concept of comparative pangenomics by harnessing multiple genome sequences by species. We created 19 pangenes and processed them with other species still relying on one genome. In total, 46 plant species were considered to build gene families and predict their homologous relationships through phylogenetic-based analyses. In addition, since the previous publication, we rejuvenated the website and included a new set of original tools including protein-domain combination, tree topologies searches and a section for users to store their own results in order to support community curation efforts.
© The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research.
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References
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- Bolser D., Staines D.M., Pritchard E., Kersey P.. Edwards D. Ensembl plants: integrating tools for visualizing, mining, and analyzing plant genomics data. Plant Bioinformatics: Methods and Protocols, Methods in Molecular Biology. 2016; NY: Springer; 115–140. - PubMed
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