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Marie-France Sagot

From Wikipedia, the free encyclopedia

Marie-France Sagot is a researcher at the French Institute for Research in Computer Science and Automation (INRIA) and responsible for the INRIA European team ERABLE. She is also a member of staff at Claude Bernard University Lyon 1.[2][3][4]

With a PhD and an Habilitation in Computer Science from the University of Marne-la-Vallée in France, she has recognized work on algorithms for computational biology[1] and gene prediction[5] and biological sequence analysis.[6] She has coordinated more than 4 national and 20 international projects since 1998, including the Inria Associated Team Compasso and the OLISSIPO project[7] with Susana Vinga from INESC-ID/IST in Lisbon, Portugal. She has been involved in teaching and teaching organisation, including creating and directing the PhD Program on Computational Biology at the Instituto Gulbenkian de Ciência, Lisbon, Portugal, from 2004 to 2007.

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".[8] Since 2002 she has been a visiting research fellow at King's College London.[4] Her main research interests concern computational biology, algorithm analysis and design, and combinatorics.

References

  1. ^ a b Marie-France Sagot publications indexed by Google Scholar Edit this at Wikidata
  2. ^ 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. ^ 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". LATIN'98: Theoretical Informatics. Lecture Notes in Computer Science. Vol. 1380. pp. 374–390. doi:10.1007/BFb0054337. ISBN 978-3-540-64275-6. ISSN 0302-9743.
  7. ^ "OLISSIPO – Fostering Computational Biology Research and Innovation in Lisbon". Retrieved 2024-01-12.
  8. ^ "ISCB Fellows". www.iscb.org. Archived from the original on 2017-03-20. Retrieved 2019-04-11.


This page was last edited on 26 February 2024, at 21:46
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