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  • team
  • department
  • center
  • program_project
  • nrc
  • whocc
  • project
  • software
  • tool
  • patent
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  • Assistant Professor
  • Associate Professor
  • Clinical Research Assistant
  • Clinical Research Nurse
  • Clinician Researcher
  • Department Manager
  • Dual-education Student
  • Full Professor
  • Honorary Professor
  • Lab assistant
  • Master Student
  • Non-permanent Researcher
  • Nursing Staff
  • Permanent Researcher
  • Pharmacist
  • PhD Student
  • Physician
  • Post-doc
  • Prize
  • Project Manager
  • Research Associate
  • Research Engineer
  • Retired scientist
  • Technician
  • Undergraduate Student
  • Veterinary
  • Visiting Scientist
  • Deputy Director of Center
  • Deputy Director of Department
  • Deputy Director of National Reference Center
  • Deputy Head of Facility
  • Director of Center
  • Director of Department
  • Director of Institute
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  • Group Leader
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© Research
Publication :

Interrogation de bases de données biologiques publiques par reformulation de requêtes et classement des résultats avec ConQuR-Bio

Scientific Fields
Diseases
Organisms
Applications
Technique

Published in - 01 Jul 2015

Bryan Brancotte, Bastien Rance, Alain Denise, Sarah Cohen-Boulakia

JOBIM 2015

L’analyse d’expériences bioinformatiques comprend la comparaison des nouveaux résultats obtenus aux données existantes. Durant ces trente dernières années, les scientifiques ont du faire face à une avalanche de données, de différents types, et présentes dans une multitude de bases de données publiques. L’accès aux données publiques se fait par l’interrogation de portails (tels que le portail Entrez du NCBI) au moyen de mots clés. Cependant, deux requêtes très similaires peuvent fournir des ensembles de réponses différents conduisant l’utilisateur à devoir tester différentes reformulations de ses requêtes (termes synonymes, variantes orthographiques, abréviations)…. Les résultats obtenus doivent ensuite être filtrés, comparés… En outre, chaque ensemble de résultats est classé par le portail (en utilisant le nombre d’occurrences du mot-clé dans chaque résultat) …