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Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/280150
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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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