Author

G. Seroussi

Universidad de la República de UruguayORCID 0000-0002-2893-189XUnclaimed 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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Research Focus:benchmarking· 2 Research Focus:dimensionality reduction· 2 Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Organism:human· 1 Approach:simulation· 1 Research Focus:software / tool· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Álvaro MartíniD· 2 shared Guillermo Dufort y ÁlvareziD· 2 shared Idoia OchoaiD· 2 shared José Roberto Sotelo-SilveiraiD· 2 shared Pablo SmircichiD· 2 shared Lucía Balestrazzi· 1 shared Martin Rivara-EspasandíniD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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2 shared papersBioinformatics

Álvaro MartínORCID

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2 papers

Recent·Most cited

Nanopore quality score resolution can be reduced with little effect on downstream analysis

Martin Rivara-Espasandín, Lucía Balestrazzi, Guillermo Dufort y Álvarez, Idoia Ochoa, G. Seroussi, Pablo Smircich, José Roberto Sotelo-Silveira, Álvaro Martín

The paper shows that quantizing nanopore quality scores has minimal impact on downstream analysis and suggests using lossy compression for storage savings.

Bioinformatics Advances · Jan 1, 2022Peer-reviewedBioinformatics

RENANO: a REference-based compressor for NANOpore FASTQ files

Guillermo Dufort y Álvarez, G. Seroussi, Pablo Smircich, José Roberto Sotelo-Silveira, Idoia Ochoa, Álvaro Martín

RENANO improves nanopore FASTQ compression by 39.8% for base call sequences using reference-based methods, with overall improvements of 12.7% in some scenarios.

Bioinformatics · Jun 9, 2021Peer-reviewedBioinformatics