Author

Laura Moles

Instituto de Salud Carlos IIIORCID 0000-0001-6902-2097Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:metagenomics· 1

Frequent Co-Authors

Ane Otaegui-ChiviteiD· 2 shared David OtaeguiiD· 2 shared Miriam Gorostidi-AicuaiD· 2 shared Ainhoa AlberroiD· 1 shared Aitor ZabalaiD· 1 shared Alex M. AscensióniD· 1 shared Rocío del Carmen Bravo-MianaiD· 1 shared Tamara Castillo‐TriviñoiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 24 mutual co-author links

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2 shared papersBioinformatics

Ane Otaegui-ChiviteORCID

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2 papers

Recent·Most cited

MBIOME: A comprehensive, reproducible, and open-source workflow for amplicon-based microbiome data analysis.

Miriam Gorostidi-Aicua, Ane Otaegui-Chivite, Aitor Zabala, Laura Moles, David Otaegui

MBIOME provides an open-source workflow for amplicon-based microbiome analysis, validated across sequencing platforms and showing improved flexibility and taxonomic resolution.

bioRxiv · Jun 29, 2026 · PreprintBioinformatics

A proposed workflow to analyze bacterial transcripts in RNAseq from blood extracellular vesicles of people with Multiple Sclerosis

Alex M. Ascensión, Miriam Gorostidi-Aicua, Ane Otaegui-Chivite, Ainhoa Alberro, Rocío del Carmen Bravo-Miana, Tamara Castillo‐Triviño, Laura Moles, David Otaegui

The paper proposes a workflow to analyze bacterial transcripts in RNAseq data from blood extracellular vesicles of people with Multiple Sclerosis to improve taxonomic profiling accuracy.

Frontiers in Microbiology · Mar 20, 2025Peer-reviewedBioinformatics