Author

Beatriz García-Jiménez

Consejo Superior de Investigaciones CientíficasORCID 0000-0002-8129-6506Unclaimed ORCID profile · follow to get notified of new preprints

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Beatriz García-Jiménez1 paper

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:deep learning· 1 Approach:experimental assay· 1 Assay:metagenomics· 1 Organism:plant (other)· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Adam M. FeistiD· 1 shared Adil MardinoğluiD· 1 shared Ali KaafaraniiD· 1 shared Andreas DrägeriD· 1 shared Anne RichelleiD· 1 shared Bas TeusinkiD· 1 shared Benjamín J. SáncheziD· 1 shared Bernhard Ørn PalssoniD· 1 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperSystems Biology

Adam M. FeistORCID

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2 papers

Recent·Most cited

Predicting microbiomes through a deep latent space

Beatriz García-Jiménez, Jorge Muñoz, Sara Cabello, Joaquı́n Medina, Mark D. Wilkinson

This paper predicts microbial composition from environmental features using a deep latent space model, achieving high correlation in maize rhizosphere microbiomes.

Bioinformatics · Nov 6, 2020Peer-reviewedBioinformatics

Memote: A community-driven effort towards a standardized genome-scale metabolic model test suite

Christian Lieven, Moritz E. Beber, Brett G. Olivier, Frank Bergmann, Meriç Ataman, Parizad Babaei, Jennifer A. Bartell, Lars M. Blank, Siddharth Chauhan, Kevin Correia, Christian Diener, Andreas Dräger, Birgitta E. Ebert, Janaka N. Edirisinghe, José P. Faria, , Cheng Zhang

Memote, open-source Python software, runs a community-maintained, partly scored test suite (consistency, biomass, annotations, optional experimental data) on SBML-encoded genome-scale metabolic models, once or through continuous integration.

Nature Biotechnology · Mar 1, 2020Peer-reviewedSystems Biology✦ In-depth digest