Author

Daniel Valenzuela

University of HelsinkiORCID 0000-0001-8244-2299Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Approach:experimental assay· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

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Veli MäkineniD· 2 shared Esa PitkäneniD· 1 shared Niko VälimäkiiD· 1 shared

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2015-2017 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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2 shared papersBioinformatics

Veli MäkinenORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintAug 18, 2017

CHIC: a short read aligner for pan-genomic references

Daniel Valenzuela, Veli Mäkinen

CHIC is a short-read aligner designed for pan-genomic references, using a hybrid compression and alignment approach to handle large and repetitive datasets.

11 citations

experimental assay

𝕏 PostBluesky

BioinformaticsbioRxivPreprintAug 3, 2015

On enhancing variation detection through pan-genome indexing

Daniel Valenzuela, Niko Välimäki, Esa Pitkänen, Veli Mäkinen

The paper enhances variation detection by using pan-genome indexing to create a recombined reference sequence from multiple alignments, improving detection on real datasets.

DOI 10.1101/021444

whole-genome sequencingdeep learning

𝕏 PostBluesky