Marie-France Sagot

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Marie-France Sagot
ISMBECCB19-044 (48722426827) (cropped).jpg
Sagot receiving her International Society for Computational Biology fellowship
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. ^ Jump up to: a b Marie-France Sagot publications indexed by Google Scholar Edit this at Wikidata
  2. ^ Jump up to: a b Marie-France Sagot at the Mathematics Genealogy Project Edit this at Wikidata
  3. ^ Marie-France Sagot at DBLP Bibliography Server Edit this at Wikidata
  4. ^ Jump up to: a b Sagot, Marie-France (2011). "CURRICULUM VITÆ: Marie-France Sagot" (PDF). Archived from the original (PDF) on 2011-03-31.
  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 1362-4962. PMC 140543. 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. ISBN 978-3-540-64275-6. ISSN 0302-9743.
  7. ^ "ISCB Fellows". www.iscb.org. Archived from the original on 2017-03-20. Retrieved 2019-04-11.



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