Author

Robert P. Treviño

Arizona State University

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Bioinformatics· 1

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Assay:long-read sequencing· 1 Approach:machine learning (classical)· 1 Research Focus:variant calling· 1

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Kylie Standage-BeieriD· 1 shared Parithi BalachandraniD· 1 shared Philippe C. Faucon· 1 shared Xiao WangiD· 1 shared

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2017-2017 · peak 1/yr

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1 paper

Recent·Most cited

BioinformaticsInternational Conference on Bioinformatics and Biomedical Science (ICBBS)Peer-reviewedJun 22, 2017

High Accuracy Base Calls in Nanopore Sequencing

Philippe C. Faucon, Robert P. Treviño, Parithi Balachandran…·Xiao Wang

This paper introduces an unsupervised learning method to correct errors in nanopore sequencing data, achieving performance comparable to existing techniques while preserving repeat detection and long sequence analysis.

3 citations

long-read sequencingmachine learning (classical)

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