Author

Miguel Moreno-Molina

Consejo Superior de Investigaciones CientíficasORCID 0000-0003-0305-4445Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Organism:bacteria (other)· 1 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:experimental assay· 1 Research Focus:GWAS / association mapping· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Iñaki ComasiD· 2 shared Manuela Torres‐PuenteiD· 2 shared Álvaro Chiner‐OmsiD· 1 shared Ana Gil-BrusolaiD· 1 shared Ana María García GarcíaiD· 1 shared Anita SureshiD· 1 shared Fernando Gónzález‐CandelasiD· 1 shared Griselda De Marco· 1 shared

Activity by Year

2020-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersGenomics

Iñaki ComasORCID

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3 papers

Recent·Most cited

GenomicsbioRxivPreprintAug 5, 2025

Complete genomes reveal the full extent of Mycobacterium tuberculosis complex diversity across evolutionary scales

Ana María García García, Manuela Torres‐Puente, Llúcia Martínez-Priego…·Iñaki Comas

The paper uses long-read sequencing to generate complete genomes of Mycobacterium tuberculosis complex isolates, revealing increased genomic diversity and improved resolution in transmission analysis.

3 citations

whole-genome sequencingexperimental assay

𝕏 PostBluesky

BioinformaticsbioRxivPreprintApr 25, 2025

Facilitating User Interaction with the Tuberculosis Mutation Catalogue using AI Tools

Miguel Moreno-Molina, Anita Suresh, Rebecca E. Colman, Timothy C. Rodwell

This paper evaluates AI models for interacting with a tuberculosis mutation catalogue, finding Google Gemini 2.5 Pro performs best in accuracy and reliability.

2 citations

bacteria (other)statistical model

𝕏 PostBluesky

GenomicsbioRxivPreprintJun 17, 2020

An evolutionary functional genomics approach identifies novel candidate regions involved in isoniazid resistance in Mycobacterium tuberculosis

Victoria Furió, Miguel Moreno-Molina, Álvaro Chiner‐Oms…·Iñaki Comas

The paper identifies novel candidate genes for isoniazid resistance in Mycobacterium tuberculosis using evolutionary functional genomics and phylogenetic analysis of clinical strain genomes.

3 citations

whole-genome sequencingstatistical model

𝕏 PostBluesky