Author

Pietro Rivetti

University of Milan

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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Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1 Organism:yeast· 1

Frequent Co-Authors

Alberto GeroldiiD· 1 shared Andrea BertottiiD· 1 shared Elena GrassiiD· 1 shared Gianni LitiiD· 1 shared Giorgio CortiiD· 1 shared Giorgio TallaricoiD· 1 shared Lorenzo TattiniiD· 1 shared Marco Cosentino LagomarsinoiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperEvolutionary Biology

Alberto GeroldiORCID

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1 paper

Recent·Most cited

μSeq: Universal mutation rate quantification via deep sequencing of a single clonal expansion.

Simone Pompei, Alberto Geroldi, Pietro Rivetti, Elena Grassi, Valentina Vurchio, Giorgio Tallarico, Giorgio Corti, Lorenzo Tattini, Gianni Liti, Andrea Bertotti, Marco Cosentino Lagomarsino

This paper introduces μSeq, a method for accurately quantifying mutation rates using deep sequencing of single clonal expansions, showing it outperforms existing methods in robustness and accuracy.

bioRxiv · Apr 17, 2025 · PreprintEvolutionary Biology