Effect of Co-segregating Markers on High-Density Genetic Maps and Prediction of Map Expansion Using Machine Learning Algorithms

Effect of Co-segregating Markers on High-Density Genetic Maps and Prediction of Map Expansion Using Machine Learning Algorithms

Advances in sequencing and genotyping methods have enable cost-effective production of high throughput single nucleotide polymorphism (SNP) markers, making them the choice for linkage mapping. As a result, many laboratories have developed high-throughput SNP assays and built high-density genetic map...

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Bibliographic Details
Main Authors: Amidou N’Diaye, Jemanesh K. Haile, D. Brian Fowler, Karim Ammar, Curtis J. Pozniak
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-08-01
Series:Frontiers in Plant Science
Subjects:
genetic map
high-density
single nucleotide polymorphism
wheat
prediction
map expansion
Online Access:http://journal.frontiersin.org/article/10.3389/fpls.2017.01434/full

Internet

http://journal.frontiersin.org/article/10.3389/fpls.2017.01434/full

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