Author

Alexey Dolgoborodov

Seven Bridges Genomics (United States)

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· 3

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:variant calling· 3 Assay:whole-genome sequencing· 3 Organism:human· 2 Approach:statistical model· 2 Assay:long-read sequencing· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Amit JainiD· 3 shared Vladimir SemenyukiD· 3 shared Deniz TurgutiD· 2 shared Duygu Kabakci-ZorluiD· 2 shared Elif ArslaniD· 2 shared Güngör BudakiD· 2 shared Huseyin Serhat TetikoliD· 2 shared Ivan J. Johnson· 2 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 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

3 shared papersBioinformatics

Amit JainORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

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

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

Fast and Accurate Genomic Analyses using Genome Graphs

Goran Rakocevic, Vladimir Semenyuk, Wan‐Ping Lee, James Spencer, John Browning, Ivan J. Johnson, Vladan Arsenijevic, Jelena Nadj, Kaushik Ghose, Maria Suciu, Sun‐Gou Ji, Gülfem Demir, Lizao Li, Berke Ç. Toptaş, Alexey Dolgoborodov, , Deniz Kural

This paper introduces a graph genome reference that improves read alignment and variant calling accuracy compared to traditional haplotype-based methods.

Nature Genetics · Jan 9, 2019Peer-reviewedBioinformatics