Author

Zahra Zare Jousheghani

University of Maryland, College ParkORCID 0009-0003-6877-4934Unclaimed 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:benchmarking· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Noor SinghiD· 2 shared Rob PatroiD· 2 shared

Activity by Year

2024-2025 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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2 shared papersBioinformatics

Noor SinghORCID

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2 papers

Recent·Most cited

BioinformaticsBioinformaticsPeer-reviewedJul 1, 2025

Oarfish: Enhanced probabilistic modeling leads to improved accuracy in long read transcriptome quantification

Zahra Zare Jousheghani, Noor Singh, Rob Patro

Oarfish improves long read transcriptome quantification by incorporating a novel coverage score into its probabilistic model, leading to more accurate quantification estimates.

45 citationstop 1%

long-read sequencingstatistical model

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BioinformaticsbioRxivPreprintJul 30, 2024

A replicable and modular benchmark for long-read transcript quantification methods

Zahra Zare Jousheghani, Noor Singh, Rob Patro

The paper introduces a replicable benchmark for long-read transcript quantification tools and evaluates their performance on synthetic datasets.

DOI 10.1101/2024.07.30.605821

long-read sequencingstatistical model

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