FractBias: a graphical tool for assessing fractionation bias following polyploidy
Author(s) -
Blake L. Joyce,
Asher Haug-Baltzell,
Sean Davey,
Matthew Bomhoff,
James C. Schnable,
Eric Lyons
Publication year - 2016
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btw666
Subject(s) - executable , genome , synteny , python (programming language) , computer science , documentation , mit license , software , source code , computational biology , data mining , biology , gene , genetics , programming language
Following polyploidy events, genomes undergo massive reduction in gene content through a process known as fractionation. Importantly, the fractionation process is not always random, and a bias as to which homeologous chromosome retains or loses more genes can be observed in some species. The process of characterizing whole genome fractionation requires identifying syntenic regions across genomes followed by post-processing of those syntenic datasets to identify and plot gene retention patterns. We have developed a tool, FractBias, to calculate and visualize gene retention and fractionation patterns across whole genomes. Through integration with SynMap and its parent platform CoGe, assembled genomes are pre-loaded and available for analysis, as well as letting researchers integrate their own data with security options to keep them private or make them publicly available.
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