Author

Lino C. Ramírez-Ayala

Consejo Superior de Investigaciones CientíficasORCID 0000-0002-9473-6646Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Organism:Drosophila· 1 Research Focus:software / tool· 1 Approach:statistical model· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Laura M. ZingarettiiD· 1 shared Miguel Pérez-enciso AiD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperGenomics

Laura M. ZingarettiORCID

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1 paper

Recent·Most cited

GenomicsGenetics Selection EvolutionPeer-reviewedFeb 10, 2020

SeqBreed: a python tool to evaluate genomic prediction in complex scenarios

Miguel Pérez-enciso A, Lino C. Ramírez-Ayala, Laura M. Zingaretti

SeqBreed evaluates genomic prediction in complex scenarios by simulating genetic data and GP methods, demonstrating its use with Drosophila and potato datasets.

18 citations

Drosophilawhole-genome sequencing

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