Author

Robert S Harris

Pennsylvania State University

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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Bioinformatics· 4

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Research Focus:benchmarking· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Research Focus:genome assembly· 1 Assay:long-read sequencing· 1 Organism:non-human primate· 1

Frequent Co-Authors

Paul MedvedeviD· 3 shared Kateryna D. MakovaiD· 2 shared Monika ČechováiD· 2 shared Antonio BlancaiD· 1 shared David KoslickiiD· 1 shared Mahdi BelbasiiD· 1 shared Marta TomaszkiewicziD· 1 shared Rayan ChikhiiD· 1 shared

Activity by Year

2017-2022 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 21 mutual co-author links

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3 shared papersBioinformatics

Paul MedvedevORCID

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Author profile →

4 papers

Recent·Most cited

The minimizer Jaccard estimator is biased and inconsistent

Mahdi Belbasi, Antonio Blanca, Robert S Harris, David Koslicki, Paul Medvedev

The paper shows that the minimizer Jaccard estimator is biased and inconsistent, affecting the accuracy of sequence similarity estimation and a read mapping tool.

Bioinformatics · Apr 14, 2022Peer-reviewedBioinformatics

Improved Representation of Sequence Bloom Trees

Robert S Harris, Paul Medvedev

The paper introduces HowDe-SBT, an improved indexing method for RNA-seq data that reduces construction time, space, and query time compared to existing SBT methods.

Bioinformatics · Aug 20, 2019Peer-reviewedBioinformatics

Noise-Cancelling Repeat Finder: Uncovering tandem repeats in error-prone long-read sequencing data

Robert S Harris, Monika Čechová, Kateryna D. Makova

The paper introduces NCRF, a tool for identifying tandem repeats in noisy long-read sequencing data, showing improved performance over existing methods.

Bioinformatics · Jul 9, 2019Peer-reviewedBioinformatics

RecoverY: K-mer based read classification for Y-chromosome specific sequencing and assembly

Samarth Rangavittal, Robert S Harris, Monika Čechová, Marta Tomaszkiewicz, Rayan Chikhi, Kateryna D. Makova, Paul Medvedev

RecoverY improves Y-chromosome assembly by automatically selecting Y-specific reads using k-mer abundance analysis, outperforming manual methods in simulated and real data.

Bioinformatics · Nov 27, 2017Peer-reviewedBioinformatics