Semi-artificial datasets as a resource for validation of bioinformatics pipelines for plant virus detection - Supplementary Materials

Published March 5, 2021 | Version v2

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1. Université de Liège, Terra-Gembloux Agro-Bio Tech, Plant Pathology Laboratory, Passage des Déportés, 2, 5030 Gembloux, Belgium
2. Plant Sciences Unit, Flanders Research Institute for Agriculture, Fisheries and Food (ILVO), Burg. Van Gansberghelaan 96, 9820 Merelbeke, Belgium
3. Department of Plant Pathology, University of California, Davis, 95616
4. Department of Plant Protection, Faculty of Agriculture, University of Sütçü Imam, Kahramanmaras 46060, Turkey
5. Univ. Bordeaux, INRAE, UMR BFP, CS20032, 33882 Villenave d'Ornon cedex, France
6. Institute for Sustainable Plant Protection, CNR, Via Amendola 122/D, Bari 70126, Italy
7. Leibniz Institute - DSMZ, German Collection of Microorganisms and Cell Cultures GmbH, 38124 Braunschweig, Germany
8. Virology, Agroscope, Nyon, Switzerland
9. Department of Plant Pathology, University of California, Davis, 95616; Department of Evolution and Ecology, University of California, Davis, California 95616, USA
10. Department of Biotechnology and Systems Biology, National Institute of Biology, Ljubljana, Slovenia

Supplementary Materials - Semi-artificial datasets as a resource for validation of bioinformatics pipelines for plant virus detection

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