Author

Sanjeev Dahal

Queen's UniversityORCID 0000-0003-4636-7732Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Organism:bacteria (other)· 2 Assay:bulk RNA-seq· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Laurence YangiD· 2 shared Alina RenziD· 1 shared Andreas DrägeriD· 1 shared Derek M. HalliD· 1 shared Herbert Yao· 1 shared Jesse GreeneriD· 1 shared Jiao ZhaoiD· 1 shared Laurence YangiD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 14 mutual co-author links

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2 shared papersSystems Biology

Laurence YangORCID

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3 papers

Recent·Most cited

Systems BiologybioRxivPreprintJan 25, 2024

Unification of cell-scale metabolic activity with biofilm behavior by integration of advanced flow and reactive-transport modeling and microfluidic experiments

Jiao Zhao, Mir Pouyan Zarabadi, Derek M. Hall…·Laurence Yang

This paper integrates flow and reactive-transport modeling with microfluidic experiments to better understand metabolic activity and biofilm behavior in Geobacter sulfurreducens.

4 citations

bacteria (other)statistical model

𝕏 PostBluesky

Systems BiologyCommunications BiologyPeer-reviewedFeb 10, 2023

Genome-scale modeling of Pseudomonas aeruginosa PA14 unveils its broad metabolic capabilities and role of metabolism in drug potentiation

Sanjeev Dahal, Alina Renz, Andreas Dräger, Laurence Yang

The paper develops a genome-scale model of Pseudomonas aeruginosa PA14 to study its metabolism, virulence, and drug interactions, revealing metabolic mechanisms and drug potentiation strategies.

18 citations

bacteria (other)whole-genome sequencing

𝕏 PostBluesky

Systems BiologybioRxivPreprintOct 7, 2022

Novel Context-Specific Genome-Scale Modelling Explores the Potential of Chlamydomonas reinhardtii for Synthetic Biology Applications

Herbert Yao, Sanjeev Dahal, Laurence Yang

The paper develops a pipeline to predict cellular metabolism from gene expression data using genome-scale models, applied to study TAG overproduction in Chlamydomonas reinhardtii.

DOI 10.1101/2022.10.07.511370

bulk RNA-seqstatistical model

𝕏 PostBluesky