Author

Jazeps Medina Tretmanis

Brown UniversityORCID 0000-0002-4589-025XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 3 Organism:human· 3 Research Focus:variant calling· 3 Assay:whole-genome sequencing· 3 Approach:deep learning· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1

Frequent Co-Authors

Emilia Huerta‐SáncheziD· 4 shared Flora JayiD· 4 shared María C. Ávila‐ArcosiD· 4 shared Alan Izarraras-GomeziD· 1 shared Alberto Juan Herrera MuñoziD· 1 shared Alexander G. IoannidisiD· 1 shared Andrés Moreno‐EstradaiD· 1 shared Bárbara MogueliD· 1 shared

Activity by Year

2023-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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4 shared papersBioinformatics

Emilia Huerta‐SánchezORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Joint ancestry inference reveals the landscape of archaic introgression in admixed populations

Jazeps Medina Tretmanis, Valeria Añorve-Garibay, David Peede, Mayra M. Bañuelos, María C. Ávila‐Arcos, Flora Jay, Emilia Huerta‐Sánchez

TRACTINATOR infers continental and archaic ancestry in admixed genomes using deep learning, revealing archaic introgression patterns in Latin American populations.

bioRxiv · Sep 3, 2026 · PreprintBioinformatics

Improving Local Ancestry Inference through Neural Networks

Jazeps Medina Tretmanis, María C. Ávila‐Arcos, Flora Jay, Emilia Huerta‐Sánchez

This paper evaluates neural network-based methods for local ancestry inference in challenging admixture scenarios and finds they perform best with specialized preprocessing.

bioRxiv · Mar 13, 2026 · PreprintBioinformatics

Simulation-based Benchmarking of Ancient Haplotype Inference for Detecting Population Structure

Jazeps Medina Tretmanis, Flora Jay, María C. Ávila‐Arcos, Emilia Huerta‐Sánchez

This study benchmarks haplotype inference methods on ancient DNA by simulating aDNA data and shows that accurate phasing is possible even for very ancient individuals with sufficient contamination control and read depth.

bioRxiv · Sep 28, 2023 · PreprintBioinformatics

Demographic history and genetic structure in pre-Hispanic Central Mexico

Viridiana Villa-Islas, Alan Izarraras-Gomez, Maximilian Larena, Elizabeth Mejía Pérez Campos, Marcela Sandoval‐Velasco, Juan Esteban Rodríguez-Rodríguez, Miriam Bravo-Lopez, Bárbara Moguel, Rosa Fregel, Ernesto Garfias-Morales, Jazeps Medina Tretmanis, David A. Velázquez-Ramírez, Alberto Juan Herrera Muñoz, Karla Sandoval, María A. Nieves-Colón, , María C. Ávila‐Arcos

The paper analyzes pre-Hispanic genetic data from Mexico to show population continuity despite climate change and identifies an ancient unsampled ghost population's contribution.

Science · May 11, 2023Peer-reviewedGenomics