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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
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
Clémence Defois
2Université Clermont Auvergne, INRA, MEDIS, F-63000 Clermont-Ferrand, France
Saskia Hiltemann
5Department of Bioinformatics, Erasmus University Medical Center, Rotterdam, 3015 CE, Netherlands
Jean-François Brugère
2Université Clermont Auvergne, INRA, MEDIS, F-63000 Clermont-Ferrand, France
Eric Peyretaillade
2Université Clermont Auvergne, INRA, MEDIS, F-63000 Clermont-Ferrand, France
Pierre Peyret
2Université Clermont Auvergne, INRA, MEDIS, F-63000 Clermont-Ferrand, France

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Posted September 04, 2017.
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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