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Marie-France Sagot

Topic: Biography

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Marie-France Sagot
Alma materUniversity of São Paulo (BSc)
Paris Diderot University (MAS)
University of Paris-Est Marne-la-Vallée (PhD)
AwardsISCB Fellow (2019)
Scientific career
FieldsAlgorithms
Computational biology[1]
InstitutionsFrench Institute for Research in Computer Science and Automation (INRIA)
Claude Bernard University Lyon 1
King's College London
ThesisRessemblance lexicale et structurale entre macromolécules : formalisation et approches combinatoires (1996)
Doctoral advisorMaxime Crochemore[2]
Websitelbbe.univ-lyon1.fr/-Sagot-Marie-France-.html

Marie-France Sagot is director of research at the French Institute for Research in Computer Science and Automation (INRIA) and a member of staff at Claude Bernard University Lyon 1[2][3][4] where she works on algorithms for computational biology[1] and gene prediction[5] and biological sequence analysis.[6] She was elected a Fellow of the International Society for Computational Biology (ISCB) in 2019 for “outstanding contributions to the fields of computational biology and bioinformatics”.[7] Since 2002 she has been a visiting research fellow at King's College London.[4]

References

  1. ↑ 1.0 1.1 {{Google Scholar id}} template missing ID and not present in Wikidata.
  2. ↑ 2.0 2.1 Marie-France Sagot at the Mathematics Genealogy Project
  3. ↑ {{DBLP}} template missing ID and not present in Wikidata.
  4. ↑ 4.0 4.1 Sagot, Marie-France (2011). "CURRICULUM VITÆ: Marie-France Sagot". Archived from the original on 2011-03-31. https://web.archive.org/web/20110331230828/http://pbil.univ-lyon1.fr/members/sagot/htdocs/curvi_sagot.pdf. 
  5. ↑ Mathe, Catherine; Sagot, Marie-France; Schiex, Thomas; Rouzé, Pierre (2002). "Survey and Summary: Current methods of gene prediction, their strengths and weaknesses". Nucleic Acids Research 30 (19): 4103–4117. doi:10.1093/nar/gkf543. ISSN 13624962. PMID 12364589. 
  6. ↑ Sagot, Marie-France (1998). "Spelling approximate repeated or common motifs using a suffix tree". Lecture Notes in Computer Science 1380: 374–390. doi:10.1007/BFb0054337. ISSN 0302-9743. 
  7. ↑ "ISCB Fellows". https://www.iscb.org/iscb-fellows. 




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