Author

Sarah K. Wooller

University of Sussex

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Assay:proteomics· 2 Approach:statistical model· 2 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Organism:human· 1 Organism:mouse· 1

Frequent Co-Authors

Frances M. G. PearliD· 2 shared Aikaterini AnagnostopoulouiD· 1 shared Antony M. CarriD· 1 shared Benno KuropkaiD· 1 shared Graeme Benstead-HumeiD· 1 shared György KemenesiD· 1 shared Ildikó KemenesiD· 1 shared Joanna RenautiD· 1 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersBioinformatics

Frances M. G. PearlORCID

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2 papers

Recent·Most cited

BioinformaticsJournal of Experimental BiologyPeer-reviewedApr 1, 2022

A combined bioinformatics and LC-MS based approach for the development and benchmarking of a comprehensive database for CNS proteins in Lymnaea stagnalis

Sarah K. Wooller, Aikaterini Anagnostopoulou, Benno Kuropka…·Murat Eravci

The paper develops and benchmarks a comprehensive CNS proteomics database for Lymnaea stagnalis using bioinformatics and LC-MS proteomics, identifying more proteins than a non-specific database.

5 citations

mouseproteomics

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Systems BiologyBioinformatics AdvancesPeer-reviewedJan 1, 2022

Biological network topology features predict gene dependencies in cancer cell lines

Graeme Benstead-Hume, Sarah K. Wooller, Joanna Renaut…·Frances M. G. Pearl

The paper predicts cell line-specific acquired essential genes using perturbed PPI networks and machine learning, achieving AUC ROC scores of 0.75-0.85.

6 citations

humanproteomics

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