Author

Deepak Raveendran Unni

Lawrence Berkeley National LaboratoryORCID 0000-0002-3583-7340Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Research Focus:database / resource· 3 Research Focus:benchmarking· 2 Research Focus:software / tool· 2 Approach:experimental assay· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Chris MungalliD· 2 shared Melissa Anne HaendeliD· 2 shared Monica C. Muñoz-TorresiD· 2 shared Nicolas MatentzogluiD· 2 shared Nomi L. HarrisiD· 2 shared Tiffany J. CallahaniD· 2 shared Adriano RutziD· 1 shared Benjamin M. GoodiD· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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2 shared papersBioinformatics

Chris MungallORCID

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Author profile →

3 papers

Recent·Most cited

Unifying the Identification of Biomedical Entities with the Bioregistry

Charles Tapley Hoyt, Meghan A. Balk, Tiffany J. Callahan, Daniel Domingo‐Fernándéz, Melissa Anne Haendel, Harshad Hegde, Daniel Himmelstein, Klas Karis, John Kunze, Tiago Lubiana, Nicolas Matentzoglu, Julie A. McMurry, Sierra A. Taylor Moxon, Chris Mungall, Adriano Rutz, , Benjamin M. Gyori

The paper introduces the Bioregistry, an open metaregistry that integrates and expands existing biomedical entity registries to improve interoperability and data reuse.

Scientific Data · Nov 19, 2022Peer-reviewedBioinformatics

KG-COVID-19: a framework to produce customized knowledge graphs for COVID-19 response

Justin Reese, Deepak Raveendran Unni, Tiffany J. Callahan, Luca Cappelletti, Vida Ravanmehr, Seth Carbon, Kent Shefchek, Benjamin M. Good, James P. Balhoff, Tommaso Fontana, Hannah Blau, Nicolas Matentzoglu, Nomi L. Harris, Monica C. Muñoz-Torres, Melissa Anne Haendel, , Chris Mungall

KG-COVID-19 creates customizable knowledge graphs for COVID-19 response by integrating siloed biomedical data into structured formats for various research applications.

Patterns · Nov 9, 2020Peer-reviewedBioinformatics

Apollo: Democratizing genome annotation

Nathan Dunn, Deepak Raveendran Unni, Colin M. Diesh, Monica C. Muñoz-Torres, Nomi L. Harris, Eric Yao, Helena Rasche, Ian H Holmes, Christine G. Elsik, Suzanna Lewis

Apollo is an open-source software tool that enables researchers to collaboratively annotate and refine genomic features through a graphical interface.

PLoS Computational Biology · Feb 6, 2019Peer-reviewedBioinformatics