Author

John Joseph Zagariah Daniel

Agriculture and Agri-Food Canada

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 2 Research Focus:variant effect prediction· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Bunyamin Tar’aniD· 2 shared Chunfang ZhengiD· 2 shared Frank M. YouiD· 2 shared Pingchuan LiiD· 2 shared Sylvie CloutieriD· 2 shared Kenneth I. Jackle· 1 shared Megan HouseiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersGenomics

Bunyamin Tar’anORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Genomic selection for seed yield enhances flax breeding efficiency

Frank M. You, Chunfang Zheng, John Joseph Zagariah Daniel, Pingchuan Li, Kenneth I. Jackle, Megan House, Bunyamin Tar’an, Sylvie Cloutier

This study demonstrates that genomic selection improves flax breeding efficiency by reducing field testing costs and enhancing prediction accuracy for seed yield.

Molecular Breeding · Jun 1, 2026Peer-reviewedGenomics

MultiGS: A comprehensive and user-friendly genomic prediction platform Integrating statistical, machine learning, and deep learning models for breeders

Frank M. You, Chunfang Zheng, John Joseph Zagariah Daniel, Pingchuan Li, Bunyamin Tar’an, Sylvie Cloutier

MultiGS is a genomic prediction platform that integrates various models for breeders, showing improved accuracy and efficiency in different prediction scenarios.

Crop Breeding Genetics and Genomics · Feb 18, 2026Peer-reviewedBioinformatics