Author

Giacomo Mutti

Barcelona Supercomputing CenterORCID 0000-0002-8687-3333Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:gene regulatory network inference· 1 Research Focus:phylogenetics / evolution· 1 Assay:protein structure· 1 Assay:proteomics· 1 Organism:yeast· 1

Frequent Co-Authors

Toni GabaldóniD· 2 shared Andrea CillingováiD· 1 shared Anna Mojáková· 1 shared Attila GácseriD· 1 shared Barbara SivákováiD· 1 shared Broňa BrejováiD· 1 shared Eduard Ocaña‐PallarèsiD· 1 shared Filip BrázdovičiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBioinformatics

Toni GabaldónORCID

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2 papers

Recent·Most cited

Newly developed structure-based methods do not outperform standard sequence-based methods for large-scale phylogenomics

Giacomo Mutti, Eduard Ocaña‐Pallarès, Toni Gabaldón

This study compares structure-based and sequence-based methods for phylogenetic reconstruction and finds that sequence-based methods still outperform structure-based ones in large-scale phylogenomics.

Molecular Biology and Evolution · Jun 15, 2025Peer-reviewedBioinformatics

Transcriptome and proteome profiling reveals complex adaptations of Candida parapsilosis cells assimilating hydroxyaromatic carbon sources

Andrea Cillingová, Renáta Tóth, Anna Mojáková, Igor Zeman, Romana Vrzoňová, Barbara Siváková, Péter Baráth, Martina Neboháčová, Zuzana Klepcová, Filip Brázdovič, Hana Lichancová, Viktória Hodorová, Broňa Brejová, Tomáš Vinař, Sofia Mutalová, , Jozef Nosek

This study profiles transcriptome and proteome of Candida parapsilosis assimilating hydroxyaromatic carbon sources, revealing pathway regulation and metabolic connections.

PLoS Genetics · Mar 7, 2022Peer-reviewedGenomics