POInT: Modeling Polyploidy in the Era of Ubiquitous Genomics.
| Autor: | Conant GC; Department of Biological Sciences, North Carolina State University, Raleigh, NC, USA. gconant@ncsu.edu.; Bioinformatics Research Center, North Carolina State University, Raleigh, NC, USA. gconant@ncsu.edu.; Program in Genetics, North Carolina State University, Raleigh, NC, USA. gconant@ncsu.edu. |
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| Jazyk: | angličtina |
| Zdroj: | Methods in molecular biology (Clifton, N.J.) [Methods Mol Biol] 2023; Vol. 2545, pp. 77-90. |
| DOI: | 10.1007/978-1-0716-2561-3_4 |
| Abstrakt: | Thirteen years ago, we described an evolutionary modeling tool that could resolve the orthology relationships among the homologous genomic regions created by a whole-genome duplication. This tool, which we subsequently named POInT (the Polyploid Orthology Inference Tool), was originally only useful for studying a genome duplication known from bakers' yeast and its relatives. Now, with hundreds of genome sequences that contain the relicts of ancient polyploidy available, POInT can be used to study dozens of different polyploidies, asking both questions about the history of individual events and about the commonalities and differences seen between those events. In this chapter, I give a brief history of the development of POInT as an illustration of the interconnected nature of computational biology research. I then further describe how POInT operates and some of the strengths and drawbacks of its structure. I close with a few examples of discoveries we have made using it. (© 2023. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.) |
| Databáze: | MEDLINE |
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