Author

Kylie Standage-Beier

Arizona State UniversityORCID 0000-0001-5355-9359Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Xiao WangiD· 2 shared Abdelrahman Youssef· 1 shared Austin Stone· 1 shared Parithi BalachandraniD· 1 shared Philippe C. Faucon· 1 shared Robert P. Treviño· 1 shared Rong ZhangiD· 1 shared Sadikshya RijaliD· 1 shared

Activity by Year

2017-2025 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 21 mutual co-author links

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2 shared papersSynthetic Biology

Xiao WangORCID

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2 papers

Recent·Most cited

CRISPRi-Linked Multi-Module Negative Feedback Loops to Address Winner-Take-All Resource Competition

Sadikshya Rijal, Kylie Standage-Beier, Rong Zhang, Austin Stone, Abdelrahman Youssef, Xiao Wang, Xiao‐Jun Tian

This study introduces a CRISPRi-based controller to mitigate Winner-Take-All behavior in synthetic gene circuits by promoting balanced module activation through negative feedback.

ACS Synthetic Biology · Sep 10, 2025Peer-reviewedSynthetic Biology

High Accuracy Base Calls in Nanopore Sequencing

Philippe C. Faucon, Robert P. Treviño, Parithi Balachandran, Kylie Standage-Beier, 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.

International Conference on Bioinformatics and Biomedical Science (ICBBS) · Jun 22, 2017Peer-reviewedBioinformatics