Author

Simon D’Archivio

University of NottinghamORCID 0000-0002-9630-8733Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Organism:Arabidopsis· 1 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:multiple species· 1

Frequent Co-Authors

Bill WicksteadiD· 1 shared Catarina GadelhaiD· 1 shared Lorenzo BrusiniiD· 1 shared Luísa M. FigueiredoiD· 1 shared Sandra TrindadeiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperCell Biology

Bill WicksteadORCID

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1 paper

Recent·Most cited

A platform for robust quantitative functional genomics reveals temporal fitness landscapes in African trypanosomes

Simon D’Archivio, Lorenzo Brusini, Sandra Trindade, Luísa M. Figueiredo, Catarina Gadelha, Bill Wickstead

DRiF-Seq, a sequencing-optimized RNAi platform with a posteriori noise estimation, quantifies clone-resolved fitness genome-wide in pleomorphic Trypanosoma brucei; over half of core genes carry fitness costs.

bioRxiv · Jul 23, 2026 · PreprintCell Biology✦ In-depth digest