Author

Sasha Bacot

Broad InstitutePrimary ORCID profile (0009-0007-2495-115X · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Sasha BacotiD1 paper · Duke University

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Assay:ATAC-seq· 1 Approach:benchmark study· 1 Research Focus:cell type annotation· 1 Assay:ChIP-seq· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

Brendan Michael ReardoniD· 1 shared Christina R. SteadmaniD· 1 shared Cullen RothiD· 1 shared Doris FuiD· 1 shared Eliezer M. Van AlleniD· 1 shared Erica Maria PimentaiD· 1 shared Erik L. BaoiD· 1 shared Hyeji JuniD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperCancer Biology

Brendan Michael ReardonORCID

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2 papers

Recent·Most cited

Evaluating agentic AI for biological discovery in autonomous and copilot settings

Shreya Johri, Erica Maria Pimenta, Josephine Yates, Jingxin Fu, Erik L. Bao, Hyeji Jun, Brendan Michael Reardon, Sasha Bacot, Maha Shady, Doris Fu, Wenbin Mei, Sabrina Yvonne Camp, J Park, Eliezer M. Van Allen

This study evaluates agentic AI's ability to support biological discovery in autonomous and human-AI copilot settings using multi-omic cancer datasets.

bioRxiv · Jun 9, 2026 · PreprintCancer Biology

SLUR(M)-py: A SLURM Powered Pythonic Pipeline for Parallel Processing of 3D (Epi)genomic Profiles

Cullen Roth, Vrinda Venu, Sasha Bacot, Shawn R. Starkenburg, Christina R. Steadman

SLUR(M)-py is a Python pipeline using SLURM for parallel processing of multi-omic epigenomic data, demonstrating improved speed and completeness over existing HPC pipelines.

Epigenomics · Oct 3, 2025Peer-reviewedBioinformatics