World's Best Scientists 2026 revealed!

Research.com Recognitions

  • 2019 - Fellow of the International Society for Computational Biology

Overview

Marie-France Sagot is affiliated with Claude Bernard University Lyon 1 in France. Their research spans the fields of Biochemistry, Genetics and Molecular Biology as well as Agricultural and Biological Sciences, with a primary focus on Molecular Biology and several related subfields.

The main topics of their work include:

  • MicroRNA in disease regulation
  • Genomics and Phylogenetic Studies
  • Gut microbiota and health
  • Probiotics and Fermented Foods
  • Insect symbiosis and bacterial influences
  • Insect Resistance and Genetics
  • Entomopathogenic Microorganisms in Pest Control

Some of the recent papers by Marie-France Sagot include:

  • The transposable element-rich genome of the cereal pest Sitophilus oryzae (2021), published in Lirias (KU Leuven)
  • BrumiR: A toolkit for de novo discovery of microRNAs from sRNA-seq data (2022), published in GigaScience
  • MOMO - multi-objective metabolic mixed integer optimization: application to yeast strain engineering (2020), published in BMC Bioinformatics
  • Mycoplasma hyopneumoniae J elicits an antioxidant response and decreases the expression of ciliary genes in infected swine epithelial cells (2020), published in Scientific Reports
  • MicroRNA Target Identification: Revisiting Accessibility and Seed Anchoring (2023), published in Genes

Frequent co-authors in their research collaborations are:

  • Mariana Galvão Ferrarini
  • Susana Vinga
  • Alex Di Genova
  • Carol Moraga
  • Marianne Borderes

Publishing venues where Marie-France Sagot has appeared multiple times include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Lirias (KU Leuven)
  • GigaScience
  • Genes

Marie-France Sagot was recognized as a Fellow of the International Society for Computational Biology in 2019.

Best Publications

  • MeDuSa: a multi-draft based scaffolder

    Emanuele Bosi;Beatrice Donati;Marco Galardini;Sara Brunetti

  • Algorithms for extracting structured motifs using a suffix tree with an application to promoter and regulatory site consensus identification.

    Laurent Marsan;Marie-France Sagot

  • Spelling Approximate Repeated or Common Motifs Using a Suffix Tree

    Marie-France Sagot

  • Motif Search in Graphs: Application to Metabolic Networks

    Vincent Lacroix;Cristina G. Fernandes;Marie-France Sagot

  • An Introduction to Metabolic Networks and Their Structural Analysis

    Vincent Lacroix;Ludovic Cottret;Patricia Thébault;Marie-France Sagot

  • MetExplore: a web server to link metabolomic experiments and genome-scale metabolic networks

    Ludovic Cottret;David Wildridge;Florence Vinson;Michael P. Barrett

  • Mathematical Foundations Of Computer Science 2003

    N Pisanti;Max Crochemore;R Grossi;M F Sagot

  • Advances on sorting by reversals

    Eric Tannier;Anne Bergeron;Marie-France Sagot

  • Modes and cuts in metabolic networks: complexity and algorithms.

    Vicente Acuña;Flavio Chierichetti;Flavio Chierichetti;Flavio Chierichetti;Vincent Lacroix;Vincent Lacroix;Vincent Lacroix;Alberto Marchetti-Spaccamela;Alberto Marchetti-Spaccamela;Alberto Marchetti-Spaccamela

  • Inferring regulatory elements from a whole genome. An analysis of Helicobacter pylori sigma(80) family of promoter signals.

    Anne Vanet;Anne Vanet;Laurent Marsan;Agnès Labigne;Marie-France Sagot

  • RISOTTO: fast extraction of motifs with mismatches

    Nadia Pisanti;Alexandra M. Carvalho;Laurent Marsan;Marie-France Sagot

  • KISSPLICE: de-novo calling alternative splicing events from RNA-seq data.

    Gustavo Akio Tominaga Sacomoto;Gustavo Akio Tominaga Sacomoto;Janice Kielbassa;Janice Kielbassa;Rayan Chikhi;Raluca Uricaru;Raluca Uricaru

  • Sorting by Reversals in Subquadratic Time

    Eric Tannier;Marie-France Sagot

  • Extracting structured motifs using a suffix tree—algorithms and application to promoter consensus identification

    Laurent Marsan;Marie-France Sagot

  • Wolbachia detection: an assessment of standard PCR Protocols

    P. M. Simões;P. M. Simões;G. Mialdea;D. Reiss;Marie-France Sagot

  • Promoter sequences and algorithmical methods for identifying them.

    Anne Vanet;Laurent Marsan;Marie-France Sagot

  • Bases of Motifs for Generating Repeated Patterns with Wild Cards

    Nadia Pisanti;Maxime Crochemore;Roberto Grossi;Marie-France Sagot

  • Multiple sequence comparison—a peptide matching approach

    Marie-France Sagot;Alain Viari;Henri Soldano

  • A New Distance for High Level RNA Secondary Structure Comparison

    Julien Allali;Marie-France Sagot

  • An Efficient Algorithm for the Identification of Structured Motifs in DNA Promoter Sequences

    Alexandra M. Carvalho;Ana T. Freitas;Arlindo L. Oliveira;Marie-France Sagot

Frequent Co-Authors

Ana Tereza Ribeiro de Vasconcelos
Ana Tereza Ribeiro de Vasconcelos National Laboratory of Scientific Computing
Toni Gabaldón
Toni Gabaldón Institució Catalana de Recerca i Estudis Avançats
Yvan Rahbé
Yvan Rahbé Institut National des Sciences Appliquées de Lyon
Andrés Moya
Andrés Moya University of Valencia
Amparo Latorre
Amparo Latorre University of Valencia
Jaime Huerta-Cepas
Jaime Huerta-Cepas Technical University of Madrid
Fabrice Vavre
Fabrice Vavre Claude Bernard University Lyon 1
Marina Marcet-Houben
Marina Marcet-Houben Barcelona Supercomputing Center
Pierre Rouzé
Pierre Rouzé Ghent University

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