Author

Clara T. Kim

Harvard UniversityORCID 0009-0009-0655-274XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:benchmark study· 1 Research Focus:cell type annotation· 1 Approach:experimental assay· 1 Organism:human· 1 Organism:mouse· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Ádám KepecsiD· 1 shared Alexander D. VeitiD· 1 shared Alexi M. RunnelsiD· 1 shared Andrew B. StergachisiD· 1 shared Anurag Majumdar· 1 shared Azeet NarayaniD· 1 shared Benpeng MiaoiD· 1 shared Brian A. KleiboekeriD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperPhysiology

Ádám KepecsORCID

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2 papers

Recent·Most cited

PhysiologyNature MetabolismPeer-reviewedJan 8, 2026

Central activation of catecholamine-independent lipolysis drives the end-stage catabolism of all adipose tissues

Xiao Zhang, Sreejith S. Panicker, Jordan M. Bollinger…·Erica L. Scheller

The paper identifies a catecholamine-independent lipolysis pathway activated by hypoglycemia and hypoinsulinemia that enables catabolism of stable adipose tissues.

9 citationstop 1%

mouseexperimental assay

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BioinformaticsbioRxivPreprintOct 13, 2025

Comprehensive benchmarking of somatic single-nucleotide variant and indel detection at ultra-low allele fractions using short- and long-read data

Yoo-Jin Jiny Ha, Dominika Maziec, Julia Markowski…·Peter J. Park

The paper benchmarks somatic variant and indel detection at low allele fractions using short- and long-read data, finding sensitivity and precision around 80% at 300x coverage.

3 citations

humanwhole-genome sequencing

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