Author

Sarah Daakour

New York University Abu DhabiORCID 0009-0007-5325-8450Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genomics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Organism:C. elegans· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1

Frequent Co-Authors

Ashish Kumar JaiswaliD· 3 shared Kourosh Salehi‐AshtianiiD· 3 shared Bushra DohaiiD· 2 shared David R. Nelson· 2 shared Jean‐Claude TwizereiD· 2 shared Weiqi FuiD· 2 shared Alexandra MystikouiD· 1 shared Amnah Salem Alzahmi· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersBioinformatics

Ashish Kumar JaiswalORCID

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintSep 28, 2026

Coupling of oceanographic state to the dark proteome: a foundation for genome-informed marine productivity modeling

David Roy Nelson, Maxence Plouviez, Sarah Daakour…·Kourosh Salehi‐Ashtiani

The paper uses a protein language model to analyze proteomic data and shows that underrepresented protein families in reference databases are strongly coupled to oceanographic conditions.

DOI 10.64898/2026.09.23.753693

proteomicsstatistical model

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Systems BiologybioRxivPreprintApr 20, 2026

Conserved metabolic vulnerabilities across pathogenic coronaviruses nominate host-directed therapeutic targets

Bushra Dohai, Diana Charles El Assal, Mina Kang…·Kourosh Salehi‐Ashtiani

The paper identifies conserved metabolic vulnerabilities across SARS-CoV, SARS-CoV-2, and MERS-CoV using transcriptomic data and metabolic models, revealing druggable host targets.

DOI 10.64898/2026.04.17.716662

humanbulk RNA-seq

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GenomicsbioRxivPreprintAug 5, 2025

Multi-omics decipher the molecular mechanisms driving high-lipid production in an artificially-evolved Chlamydomonas mutant

David R. Nelson, Amphun Chaiboonchoe, Weiqi Fu…·Kourosh Salehi‐Ashtiani

The paper identifies mutations and multi-omic changes in a Chlamydomonas mutant (H5) that enhance lipid production without affecting growth.

DOI 10.1101/2025.08.05.668592

C. eleganswhole-genome sequencing

𝕏 PostBluesky