Learning the properties of adaptive regions with functional data analysis.
Identifying regions of positive selection in genomic data remains a challenge in population genetics. Most current approaches rely on comparing values of summary statistics calculated in windows. We present an approach termed SURFDAWave, which translates measures of genetic diversity calculated in g...
Main Authors: | Mehreen R Mughal, Hillary Koch, Jinguo Huang, Francesca Chiaromonte, Michael DeGiorgio |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2020-08-01
|
Series: | PLoS Genetics |
Online Access: | https://doi.org/10.1371/journal.pgen.1008896 |
Similar Items
-
Understanding the Adaptive Evolutionary Histories of South American Ancient and Present-Day Populations via Genomics
by: John Lindo, et al.
Published: (2021-03-01) -
Eguchipsammia fistula Microsatellite Development and Population Analysis
by: Mughal, Mehreen
Published: (2012) -
Attitude Towards Learning Communication Skills Among Undergraduate Medical Students of a Public University
by: Mehreen Nawab, et al.
Published: (2019-12-01) -
A model-based approach for identifying signatures of ancient balancing selection in genetic data.
by: Michael DeGiorgio, et al.
Published: (2014-08-01) -
Functional data analysis characterizes the shapes of the first COVID-19 epidemic wave in Italy
by: Tobia Boschi, et al.
Published: (2021-08-01)