Author

Gregory Gydush

Broad Institute

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 Molecular Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:variant effect prediction· 2 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Organism:human· 1 Research Focus:perturbation response prediction· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Atish Dipankar ChoudhuryiD· 2 shared Daniel G. StoveriD· 2 shared Heather Anne ParsonsiD· 2 shared Justin RhoadesiD· 2 shared Sarah C. ReediD· 2 shared Viktor A. AdalsteinssoniD· 2 shared Christopher Lo· 1 shared David KatziD· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 42 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 papersBioinformatics

Atish Dipankar ChoudhuryORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

FinaleMe: Predicting DNA methylation by the fragmentation patterns of plasma cell-free DNA

Yaping Liu, Sarah C. Reed, Christopher Lo, Atish Dipankar Choudhury, Heather Anne Parsons, Daniel G. Stover, Gavin Ha, Gregory Gydush, Justin Rhoades, Denisse Rotem, Samuel S. Freeman, David Katz, Ravi Bandaru, Haizi Zheng, Hailu Fu, , M Kellis

FinaleMe predicts DNA methylation and tissues-of-origin from plasma whole-genome sequencing by using a non-homogeneous Hidden Markov Model.

Nature Communications · Mar 30, 2024Peer-reviewedBioinformatics

MAESTRO affords 'breadth and depth' for mutation testing

Gregory Gydush, Erica Nguyen, Jin H. Bae, Justin Rhoades, Sarah C. Reed, Douglas Shea, Kan Xiong, Ruolin Liu, Timothy Blewett, Fangyan Yu, Ka Wai Leong, Atish Dipankar Choudhury, Daniel G. Stover, Sara M. Tolaney, Ian E. Krop, , Viktor A. Adalsteinsson

MAESTRO enables efficient and accurate tracking of thousands of low-frequency mutations with reduced sequencing, improving mutation testing in cancer and liquid biopsies.

bioRxiv · Jan 22, 2021 · PreprintMolecular Biology