Author

Jacqueline A. Valeri

Harvard UniversityORCID 0000-0002-3430-5924Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:ChIP-seq· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Research Focus:sequence-to-function modeling· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Arjun RajiD· 1 shared Aryeh Metzger· 1 shared Bianca A. Lepe· 1 shared Diogo M. CamachoiD· 1 shared Jennifer E. Phillips‐CreminsiD· 1 shared Ji Hun KimiD· 1 shared Jonathan A. BeaganiD· 1 shared Katelyn R. TitusiD· 1 shared

Activity by Year

2019-2019 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperGenomics

Arjun RajORCID

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2 papers

Recent·Most cited

Synthetic BiologybioRxivPreprintDec 10, 2019

Sequence-to-function deep learning frameworks for synthetic biology

Jacqueline A. Valeri, Katherine M. Collins, Bianca A. Lepe…·Diogo M. Camacho

The paper introduces STORM, a deep learning model to optimize toehold switches by analyzing sequence-to-function relationships in a dataset of 91,534 toehold switches.

2 citations

deep learningsoftware / tool

𝕏 PostBluesky

GenomicsNature MethodsPeer-reviewedJun 24, 2019

LADL: Light-activated dynamic looping for endogenous gene expression control

Ji Hun Kim, Mayuri Rege, Jacqueline A. Valeri…·Jennifer E. Phillips‐Cremins

This paper introduces LADL, a light-activated system to dynamically control chromatin looping, showing it can redirect enhancer-promoter interactions and alter gene expression within four hours.

135 citationstop 2%

humanChIP-seq

𝕏 PostBluesky