Author

Mireille Ansaldi

Centre National de la Recherche ScientifiqueORCID 0000-0002-2878-0702Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:clustering· 1 Approach:deep learning· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Nicolas GinetiD· 2 shared Swapnesh PanigrahiiD· 2 shared Julián BulssicoiD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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2 shared papersGenomics

Nicolas GinetORCID

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2 papers

Recent·Most cited

GenomicsbioRxivPreprintDec 17, 2024

HieVi: Protein Large Language Model for proteome-based phage clustering

Swapnesh Panigrahi, Mireille Ansaldi, Nicolas Ginet

HieVi uses a protein language model to cluster bacteriophages into a hierarchical taxonomy, aligning with ICTV classifications and capturing evolutionary relationships.

DOI 10.1101/2024.12.17.627486

proteomicsdeep learning

𝕏 PostBluesky

MicrobiologybioRxivPreprintSep 11, 2024

Antibiotic-Induced Morphological Changes Enhance Phage Predation: A Mathematical Model of Plaque Formation in Structured Environments

Julián Bulssico, Swapnesh Panigrahi, Nicolas Ginet, Mireille Ansaldi

This paper develops a mathematical model showing that antibiotic-induced morphological changes in bacteria enhance phage predation and plaque size in structured environments.

DOI 10.1101/2024.09.11.612426

statistical model

𝕏 PostBluesky