Author

Richard Brown

Seven Bridges Genomics (United States)Primary ORCID profile (0000-0002-6439-3718 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Richard BrowniD1 paper · LaGuardia Community College

Biology Disciplines

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Bioinformatics· 3 Genetics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:variant calling· 2 Assay:whole-genome sequencing· 2 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:genome assembly· 1 Organism:human· 1

Frequent Co-Authors

Alexey Dolgoborodov· 2 shared Amit JainiD· 2 shared Deniz TurgutiD· 2 shared Duygu Kabakci-ZorluiD· 2 shared Elif ArslaniD· 2 shared Güngör BudakiD· 2 shared Huseyin Serhat TetikoliD· 2 shared Kübra NarcıiD· 2 shared

Activity by Year

2021-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Alexey Dolgoborodov

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4 papers

Recent·Most cited

A Mechanism-Aware Dual Attention Deep Model for Molecular-Protein Binding Affinity Prediction with Enhanced Generalizability and Interpretability

Richard Brown, Daniel Thompson

This paper introduces BindMecNet, a deep learning model for molecular-protein binding affinity prediction that improves generalizability and interpretability through explicit mechanistic modeling.

bioRxiv · Dec 29, 2025 · PreprintBioinformatics

precisionFDA Truth Challenge V2: Calling variants from short- and long-reads in difficult-to-map regions

Nathan D. Olson, Justin Wagner, Jennifer McDaniel, Sarah H. Stephens, Samuel T. Westreich, Anish G. Prasanna, Elaine Johanson, Emily S. Boja, Ezekiel J. Maier, Omar Serang, David Jáspez, Jose Miguel Lorenzo-Salazar, Adrián Muñoz‐Barrera, Luis A. Rubio‐Rodríguez, Carlos Flores, , Justin M. Zook

The paper evaluates variant calling in difficult genomic regions using short- and long-read sequencing, showing improved performance with new methods and multi-technology approaches.

Cell Genomics · Apr 27, 2022Peer-reviewedBioinformatics

Applied phenomics and genomics for improving barley yellow dwarf resistance in winter wheat

Paula Silva, Byron Evers, Alexandria Kieffaber, Xu Wang, Richard Brown, Liangliang Gao, Allan K. Fritz, Jared Levi Crain, Jesse Poland

This study uses high-throughput phenotyping and genomic prediction to assess and improve barley yellow dwarf resistance in wheat.

G3 Genes Genomes Genetics · Mar 30, 2022Peer-reviewedGenetics

Population-specific genome graphs improve high-throughput sequencing data analysis: A case study on the Pan-African genome

Huseyin Serhat Tetikol, Kübra Narcı, Deniz Turgut, Güngör Budak, Özem Kalay, Elif Arslan, Sinem Demirkaya-Budak, Alexey Dolgoborodov, Amit Jain, Duygu Kabakci-Zorlu, Richard Brown, Vladimir Semenyuk, Brandi N. Davis‐Dusenbery

This study develops population-specific genome graphs to improve sequencing data analysis, showing reduced mapping errors and better variant calling in African ancestry samples.

bioRxiv · Mar 19, 2021 · PreprintBioinformatics