Author

Mariana G. Matus

Biobot Analytics (United States)ORCID 0000-0002-2880-0339Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 1 Microbiology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Assay:metagenomics· 3 Approach:statistical model· 3 Research Focus:benchmarking· 2 Organism:human· 2 Research Focus:differential expression· 1 Assay:metabolomics· 1

Frequent Co-Authors

Eric J. AlmiD· 3 shared Carlo RattiiD· 2 shared Claire DuvalletiD· 2 shared Newsha Ghaeli· 2 shared Noriko EndoiD· 2 shared An Ni ZhangiD· 1 shared Chengzhen L. DaiiD· 1 shared Christian DieneriD· 1 shared

Activity by Year

2019-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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3 shared papersSystems Biology

Eric J. AlmORCID

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3 papers

Recent·Most cited

Systems BiologyFrontiers in EndocrinologyPeer-reviewedJan 8, 2021

Progressive shifts in the gut microbiome reflect prediabetes and diabetes development in a treatment-naive Mexican cohort

Christian Diener, María de Lourdes Reyes‐Escogido, Lilia M. Jiménez-Ceja…·Rodolfo Guardado‐Mendoza

The paper identifies gut microbiome biomarkers associated with T2D progression in a Mexican cohort and shows metformin treatment reverses these changes.

40 citations

humanmetagenomics

𝕏 PostBluesky

GenomicsbioRxivPreprintSep 3, 2019

24-hour multi-omics analysis of residential sewage reflects human activity and informs public health

Mariana G. Matus, Claire Duvallet, Melissa C. Kido Soule…·Eric J. Alm

This study analyzes 24-hour residential sewage using untargeted genomics and metabolomics to identify human-derived biomarkers and inform public health.

17 citations

humanmetagenomics

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MicrobiologybioRxivPreprintFeb 28, 2019

Multi-site sampling and risk prioritization reveals the public health relevance of antibiotic resistance genes found in wastewater environments

Chengzhen L. Dai, Claire Duvallet, An Ni Zhang…·Eric J. Alm

This study assesses the public health risk of antibiotic resistance genes in wastewater by combining metagenomic analysis with risk prioritization across multiple countries.

DOI 10.1101/562496

metagenomicsstatistical model

𝕏 PostBluesky