Machine-Learning Prospects for Detecting Selection Signatures Using Population Genomics Data-Reference-Cited by-同舟云学术

Machine-Learning Prospects for Detecting Selection Signatures Using Population Genomics Data

Published:2022-09-01 Issue:9 Volume:29 Page:943-960
ISSN:1557-8666
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Kumar Harshit¹,Panigrahi Manjit¹^ORCID,Panwar Anuradha¹,Rajawat Divya¹,Nayak Sonali Sonejita¹,Saravanan K.A.¹,Kaisa Kaiho¹,Parida Subhashree²,Bhushan Bharat¹,Dutt Triveni³

Affiliation:

1. Divisions of Animal Genetics, ICAR-Indian Veterinary Research Institute, Izatnagar, India.

2. Divisions of Pharmacology and Toxicology, ICAR-Indian Veterinary Research Institute, Izatnagar, India.

3. Livestock Production and Management Section, ICAR-Indian Veterinary Research Institute, Izatnagar, India.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modeling and Simulation

Link

https://www.liebertpub.com/doi/pdf/10.1089/cmb.2021.0447

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4. Population History and Natural Selection Shape Patterns of Genetic Variation in 132 Genes

5. Scalable linkage-disequilibrium-based selective sweep detection: a performance guide

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