Author

Max Doblas

Barcelona Supercomputing CenterORCID 0000-0002-8909-3033Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1 Assay:long-read sequencing· 1 Research Focus:software / tool· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Miquel MoretóiD· 2 shared Quim Aguado-PuigiD· 2 shared Santiago Marco‐SolaiD· 2 shared Antonio Espinosa· 1 shared Christos Matzoros· 1 shared Cristian IñigueziD· 1 shared Juan Carlos MoureiD· 1 shared Oscar Lostes-CazorlaiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 22 mutual co-author links

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2 shared papersBioinformatics

Miquel MoretóORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

QuickEd: High-performance exact sequence alignment based on bound-and-align

Max Doblas, Oscar Lostes-Cazorla, Quim Aguado-Puig, Cristian Iñiguez, Miquel Moretó, Santiago Marco‐Sola

QuickEd improves sequence alignment speed for long reads by using a bound-and-align strategy, achieving faster performance than existing tools while maintaining accuracy.

Bioinformatics · Mar 1, 2025Peer-reviewedBioinformatics

WFA-GPU: Gap-affine pairwise alignment using GPUs

Quim Aguado-Puig, Max Doblas, Christos Matzoros, Antonio Espinosa, Juan Carlos Moure, Santiago Marco‐Sola, Miquel Moretó

This paper introduces WFA-GPU, a GPU-accelerated tool for exact gap-affine sequence alignment, showing significant speed improvements over CPU and other GPU implementations.

bioRxiv · Apr 18, 2022 · PreprintBioinformatics