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| Title: | SUPREMET Hackathon |
Authors: | González-Recio, Oscar | Keywords: | Microbial flora | Issue Date: | 25-Jul-2019 | Publisher: | CSIC - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA) | Citation: | González-Recio, Oscar; 2019; SUPREMET Hackathon [Dataset]; CSIC - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA); http://hdl.handle.net/10261/280150 | Abstract: | The purpose of this data set is to serve as a training exercise to predict a complex phenotype using metagenomic data within the workshop SUPREMET 2019 "Supercomputación para la predicción de enfermedades y caracteres complejos usando información del metagenoma". | Description: | This data set contains information on the rumen microbiome of 340 dairy cows, sequenced within the METALGEN project (RTA2015-00022-C03).-- Sequenced with a MinION from Oxford Nanopore Technology. | URI: | http://hdl.handle.net/10261/280150 |
| Appears in Collections: | (INIA) Conjuntos de datos |
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| accesoRestringido.pdf | 59,24 kB | Adobe PDF |  View/Open |
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