Author

Iakes Ezkurdia

Spanish National Centre for Cardiovascular ResearchORCID 0000-0001-9074-5302Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Iakes Ezkurdia1 paper

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Organism:mouse· 2 Assay:proteomics· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Jesús VázqueziD· 2 shared Ali MortazaviiD· 1 shared Ana ConesaiD· 1 shared Ana Latorre-PelliceriD· 1 shared Ana Victoria Lechuga‐ViecoiD· 1 shared Cécile PereiraiD· 1 shared Cristina MartíiD· 1 shared Elena Bonzón‐KulichenkoiD· 1 shared

Activity by Year

2018-2018 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersBioinformatics

Jesús VázquezORCID

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2 papers

Recent·Most cited

Comprehensive quantification of the modified proteome reveals oxidative heart damage in mitochondrial heteroplasmy

Navratan Bagwan, Elena Bonzón‐Kulichenko, Enrique Calvo, Ana Victoria Lechuga‐Vieco, Spiros Michalakopoulos, Marco Trevisán-Herraz, Iakes Ezkurdia, José Manuel Rodrı́guez, Ricardo Magni, Ana Latorre-Pellicer, José Antonio Enrı́quez, Jesús Vázquez

The paper develops algorithms to comprehensively identify and quantify protein modifications, revealing oxidative damage in heart mitochondria due to mtDNA heteroplasmy.

Cell Reports · Jun 1, 2018Peer-reviewedBioinformatics

SQANTI: extensive characterization of long read transcript sequences for quality control in full-length transcriptome identification and quantification

Manuel Tardáguila, Lorena de la Fuente, Cristina Martí, Cécile Pereira, Francisco J. Pardo-Palacios, Héctor del Risco, Marc Ferrell, Maravillas Mellado-López, Marissa G. Macchietto, Kenneth Verheggen, Mariola J. Edelmann, Iakes Ezkurdia, Jesús Vázquez, Michael L. Tress, Ali Mortazavi, , Ana Conesa

SQANTI characterizes long-read transcript sequences to assess quality and improve quantification of full-length transcriptomes.

Genome Research · Mar 1, 2018Peer-reviewedBioinformatics