Author

Sara Venkatraman

Cornell UniversityORCID 0009-0006-1129-2397Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:gene regulatory network inference· 2 Approach:statistical model· 2 Research Focus:clustering· 1 Research Focus:differential expression· 1 Organism:Drosophila· 1

Frequent Co-Authors

Andrew G. ClarkiD· 2 shared Martin T. WellsiD· 2 shared Sofie DelbareiD· 2 shared Sumanta BasuiD· 2 shared Kate Scuderi· 1 shared Mariana Federica WolfneriD· 1 shared Myung Hee LeeiD· 1 shared

Activity by Year

2022-2023 · peak 1/yr

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7 top collaborators · 19 mutual co-author links

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2 shared papersGenomics

Andrew G. ClarkORCID

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2 papers

Recent·Most cited

GenomicsData Science in SciencePeer-reviewedAug 21, 2023

An Empirical Bayes Approach to Estimating Dynamic Models of Co-regulated Gene Expression

Sara Venkatraman, Sumanta Basu, Andrew G. Clark…·Martin T. Wells

The paper introduces an empirical Bayes method to estimate ODE models of gene expression and derives a biologically-informed similarity metric to identify co-regulated gene clusters.

4 citations

bulk RNA-seqstatistical model

𝕏 PostBluesky

GenomicsbioRxivPreprintMay 14, 2022

Time series transcriptome analysis uncovers regulatory networks and a role for the circadian clock in the Drosophila melanogaster female's response to Sex Peptide

Sofie Delbare, Sara Venkatraman, Kate Scuderi…·Andrew G. Clark

The paper uses time series RNA-sequencing to analyze the female Drosophila melanogaster's transcriptional response to Sex Peptide, revealing metabolic and neuronal gene regulatory networks and interactions with the circadian clock.

DOI 10.1101/2022.05.14.491957

Drosophilabulk RNA-seq

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