Top Tweets for #WURdata
๐Your daily dose!
๐ #microbiology #genetics #dataset from @jjkoehorst et al. @WUR
๐งซ#Machinelearning approaches to predict the plant-associated #phenotype of Xanthomonas strains
#Data๐https://t.co/8nLYY12d6P
@DataWUR @wurlibrary #wurdata #FAIRdata #OpenScience #bacteria
Team Six: HenGen Chicks. @BetterBreeding provided data for the team to explore environmental data to predict๐ performance. A lot of data crunching, thinking of ways to overcome missing data #WURdata #LifeSciences #OpenSource #RegressionAnalysis

#DataScience hands-on training with @ApacheSpark for #AnimalBreeding! Today, we offered with @DirkjanSchokker an engaging workshop to 20 participants from @Breed4Food @crv4all @BetterBreeding @TopigsNorsvin @cobbvantress #WUR_ABG #WURdata #BigDataInAg #BigData #HPC #precisionag
Peter talks about genome annotation and the difference between Fairification and fair by design #wurdata

Sanneke Kloppenburg @ENPWageningen in Digimetis panel #wurdata @DataWUR - arguing we better discuss "data practices" than the (too) broadly defined term "data"

How to expose QTLs from literature by Table Mining? @eScienceCenter engineers develop tools to link QTLs to phenotypes of tomatoes and potatoes @WUR @WURdata #WURdata


Fits well into the FAIR data science topic: @jjjvanderhooft on the integrated omics project linking metabolomics and genomics, which is done together with the @eScienceCenter #omics #WURdata


FAIRification challenge - lessons learnt on how to connect things to strings! @WURdata #WURdata

Scientific data contain much more information than scientific literature repositories says Jaap Heringa @VUamsterdam @ELIXIREurope #wurdata @wur

Prof. Jaap Heringa from @VUamsterdam and @ELIXIREurope starts by stating the obvious but how do we know it is true?! ๐ @WURdata #WURdata

Black box data science models are not sufficient for knowledge discovery in scientific domains @HelpfulTangent at #wurdata @wur
@HelpfulTangent from @TACC introduces @IS_GEOCommunity and #planetTexas on #ArtificialInteligence and #MachineLearning for decision support in #geosciences #wurdata @NSF

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