Author

Daniel Acevedo

The University of Texas Rio Grande Valley

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 1 Organism:human· 1 Assay:long-read sequencing· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Doaa HassaniD· 1 shared Quoseena MiriD· 1 shared Sarath Chandra JangaiD· 1 shared Swapna Vidhur DaulatabadiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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1 shared paperGenomics

Doaa HassanORCID

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1 paper

Recent·Most cited

Penguin: A Tool for Predicting Pseudouridine Sites in Direct RNA Nanopore Sequencing Data

Doaa Hassan, Daniel Acevedo, Swapna Vidhur Daulatabad, Quoseena Mir, Sarath Chandra Janga

Penguin is a tool that uses machine learning to predict pseudouridine sites in direct RNA nanopore sequencing data, achieving high accuracy compared to existing methods.

Methods · Jul 1, 2022Peer-reviewedGenomics