Author

Alberto Noronha

University of LuxembourgORCID 0000-0002-0935-4599Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:metabolomics· 3 Research Focus:database / resource· 2 Organism:human· 2 Assay:metagenomics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Laurent HeirendtiD· 3 shared Almut HeinkeniD· 2 shared Ines ThieleiD· 2 shared Reinhard SchneideriD· 2 shared Ronan M. T. FlemingiD· 2 shared Swagatika SahooiD· 2 shared Akansha Roy· 1 shared Alberto Puente· 1 shared

Activity by Year

2018-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersSystems Biology

Laurent HeirendtORCID

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3 papers

Recent·Most cited

Systems BiologyBioinformaticsPeer-reviewedNov 10, 2021

COBREXA.jl: constraint-based reconstruction and exascale analysis

Miroslav Kratochvíl, Laurent Heirendt, St. Elmo Wilken…·Wei Gu

COBREXA.jl is a Julia package for scalable constraint-based metabolic modeling, designed for high-performance computing environments and multi-organism community models.

12 citations

metabolomicsstatistical model

Systems BiologyNucleic Acids ResearchPeer-reviewedOct 10, 2018

The Virtual Metabolic Human database: integrating human and gut microbiome metabolism with nutrition and disease

Alberto Noronha, Jennifer Modamio, Yohan Jarosz…·Ines Thiele

The paper introduces the Virtual Metabolic Human database, which integrates human and gut microbiome metabolism with nutrition and disease data to support biomedical research.

399 citationstop 1%

humanmetagenomics

Systems BiologybioRxivPreprintJan 29, 2018

When metabolism meets physiology: Harvey and Harvetta

Ines Thiele, Swagatika Sahoo, Almut Heinken…·Ronan M. T. Fleming

The paper presents two gender-specific whole-body metabolism models, Harvey and Harvetta, that integrate physiological and omics data to predict metabolic processes and interactions across organs.

24 citations

humanmetagenomics