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ASaiM: a Galaxy-based framework to analyze raw shotgun data from microbiota

View ORCID ProfileBérénice Batut, View ORCID ProfileKévin Gravouil, Clémence Defois, View ORCID ProfileSaskia Hiltemann, Jean-François Brugère, Eric Peyretaillade, Pierre Peyret
doi: https://doi.org/10.1101/183970
Bérénice Batut
1Bioinformatics Group, Department of Computer Science, University of Freiburg, Germany
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  • For correspondence: berenice.batut@gmail.com pierre.peyret@uca.fr
Kévin Gravouil
2Université Clermont Auvergne, INRA, MEDIS, F-63000 Clermont-Ferrand, France
3Université Clermont Auvergne, CNRS, LMGE, F-63000 Clermont-Ferrand, France
4Université Clermont Auvergne, CNRS, LIMOS, F-63000 Clermont-Ferrand, France
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Clémence Defois
2Université Clermont Auvergne, INRA, MEDIS, F-63000 Clermont-Ferrand, France
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Saskia Hiltemann
5Department of Bioinformatics, Erasmus University Medical Center, Rotterdam, 3015 CE, Netherlands
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Jean-François Brugère
2Université Clermont Auvergne, INRA, MEDIS, F-63000 Clermont-Ferrand, France
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Eric Peyretaillade
2Université Clermont Auvergne, INRA, MEDIS, F-63000 Clermont-Ferrand, France
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Pierre Peyret
2Université Clermont Auvergne, INRA, MEDIS, F-63000 Clermont-Ferrand, France
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  • For correspondence: berenice.batut@gmail.com pierre.peyret@uca.fr
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Article Information

doi 
https://doi.org/10.1101/183970
History 
  • September 4, 2017.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.

Author Information

  1. Bérénice Batut1,*,
  2. Kévin Gravouil2,3,4,
  3. Clémence Defois2,
  4. Saskia Hiltemann5,
  5. Jean-François Brugère2,
  6. Eric Peyretaillade2 and
  7. Pierre Peyret2,*
  1. 1Bioinformatics Group, Department of Computer Science, University of Freiburg, Germany
  2. 2Université Clermont Auvergne, INRA, MEDIS, F-63000 Clermont-Ferrand, France
  3. 3Université Clermont Auvergne, CNRS, LMGE, F-63000 Clermont-Ferrand, France
  4. 4Université Clermont Auvergne, CNRS, LIMOS, F-63000 Clermont-Ferrand, France
  5. 5Department of Bioinformatics, Erasmus University Medical Center, Rotterdam, 3015 CE, Netherlands
  1. ↵*Correspondence should be addressed to B.B. (berenice.batut{at}gmail.com) and P.P. (pierre.peyret{at}uca.fr)
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Posted September 04, 2017.
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ASaiM: a Galaxy-based framework to analyze raw shotgun data from microbiota
Bérénice Batut, Kévin Gravouil, Clémence Defois, Saskia Hiltemann, Jean-François Brugère, Eric Peyretaillade, Pierre Peyret
bioRxiv 183970; doi: https://doi.org/10.1101/183970
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ASaiM: a Galaxy-based framework to analyze raw shotgun data from microbiota
Bérénice Batut, Kévin Gravouil, Clémence Defois, Saskia Hiltemann, Jean-François Brugère, Eric Peyretaillade, Pierre Peyret
bioRxiv 183970; doi: https://doi.org/10.1101/183970

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