Author

Suhas N. Diggavi

University of California, Los AngelesORCID 0000-0001-7313-9861Unclaimed 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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Assay:long-read sequencing· 2 Approach:statistical model· 2 Research Focus:variant calling· 2 Organism:human· 1

Frequent Co-Authors

Dhaivat JoshiiD· 2 shared Sreeram KannaniD· 2 shared Mark ChaissoniD· 1 shared Shunfu MaoiD· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 5 mutual co-author links

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2 shared papersBioinformatics

Dhaivat JoshiORCID

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2 papers

Recent·Most cited

BioinformaticsBioinformaticsPeer-reviewedSep 19, 2023

HQAlign: Aligning nanopore reads for SV detection using current-level modeling

Dhaivat Joshi, Suhas N. Diggavi, Mark Chaisson, Sreeram Kannan

HQAlign improves structural variant detection from nanopore reads by incorporating sequencing physics and SV-specific alignment adjustments, capturing more SVs than minimap2 with comparable performance.

9 citations

humanlong-read sequencing

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedSep 29, 2020

QAlign: Aligning nanopore reads accurately using current-level modeling

Dhaivat Joshi, Shunfu Mao, Sreeram Kannan, Suhas N. Diggavi

QAlign improves alignment accuracy and rates for nanopore reads by converting them into current-level representations before alignment.

9 citations

long-read sequencingstatistical model

𝕏 PostBluesky