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G3 (Bethesda, Md.)|June 5, 2016
MeSH-Informed Enrichment Analysis and MeSH-Guided Semantic Similarity Among Functional Terms and Gene Products in ChickenGota Morota, Timothy M Beissinger, Francisco PeñagaricanoJournal of Dairy Science|October 9, 2017
Predicting bull fertility using genomic data and biological informationRostam Abdollahi-Arpanahi, Gota Morota, Francisco PeñagaricanoPlant Direct|June 28, 2019
ShinyAIM: Shiny-based application of interactive Manhattan plots for longitudinal genome-wide association studiesWaseem Hussain, Malachy Campbell, Harkamal Walia, et al.BMC Plant Biology|July 26, 2024
Refining flowering date enhances sesame yield independently of day-lengthIdan Sabag, Shaked Pnini, Gota Morota, et al.G3 (Bethesda, Md.)|October 6, 2020
A Multiple-Trait Bayesian Variable Selection Regression Method for Integrating Phenotypic Causal Networks in Genome-Wide Association StudiesZigui Wang, Deborah Chapman, Gota Morota, et al.Journal of Animal Science|February 24, 2021
ASAS-NANP SYMPOSIUM: prospects for interactive and dynamic graphics in the era of data-rich animal science1Gota Morota, Hao Cheng, Dianne Cook, et al.Frontiers in Genetics|March 30, 2023
Multi-environment analysis enhances genomic prediction accuracy of agronomic traits in sesameIdan Sabag, Ye Bi, Zvi Peleg, et al.The Plant Genome|July 11, 2019
Leveraging Breeding Values Obtained from Random Regression Models for Genetic Inference of Longitudinal TraitsMalachy Campbell, Mehdi Momen, Harkamal Walia, et al.Plant Methods|September 25, 2019
Utilizing trait networks and structural equation models as tools to interpret multi-trait genome-wide association studiesMehdi Momen, Malachy T Campbell, Harkamal Walia, et al.G3 (Bethesda, Md.)|August 21, 2019
Predicting Longitudinal Traits Derived from High-Throughput Phenomics in Contrasting Environments Using Genomic Legendre Polynomials and B-SplinesMehdi Momen, Malachy T Campbell, Harkamal Walia, et al.Pageof 25