Author

Thomas Binet

Université de Technologie de CompiègneORCID 0009-0002-1096-1035Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:DNA methylation· 1

Frequent Co-Authors

Bérangère Avalle· 2 shared Irene MaffucciiD· 2 shared Miraine Dávila FelipeiD· 1 shared Selma Bengaouer· 1 shared Séverine Padiolleau‐LefèvreiD· 1 shared Stéphane OctaveiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 12 mutual co-author links

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2 shared papersBioinformatics

Bérangère Avalle

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2 papers

Recent·Most cited

BioinformaticsComputational and Structural Biotechnology JournalPeer-reviewedMar 1, 2026

Predicting single-stranded DNA oligonucleotides 3D structures: an open issue

Selma Bengaouer, Thomas Binet, Stéphane Octave…·Irene Maffucci

This paper evaluates three RNA 3D structure prediction tools on a dataset of ssDNA structures to assess their applicability to ssDNA and identify limitations in predicting complex motifs.

DOI 10.34133/csbj.0127

DNA methylationstatistical model

BioinformaticsBioinformaticsPeer-reviewedNov 28, 2022

AptaMat: a matrix-based algorithm to compare single-stranded oligonucleotides secondary structures

Thomas Binet, Bérangère Avalle, Miraine Dávila Felipe, Irene Maffucci

AptaMat is a matrix-based algorithm for comparing single-stranded oligonucleotides secondary structures, showing better discrimination than existing metrics.

20 citations

statistical model