Author

Matthew C. Kendzior

University of Illinois Urbana-Champaign

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· 3

Signature Assays, Organisms & Methods

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Assay:whole-genome sequencing· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Liudmila Sergeevna MainzeriD· 3 shared Azza E. AhmediD· 2 shared Faisal M. FadlelmolaiD· 2 shared Jacob R. Heldenbrand· 2 shared Katherine I. Kendig· 2 shared Christian A RossiD· 1 shared Christina E. FliegeiD· 1 shared Daniel S. KatziD· 1 shared

Activity by Year

2019-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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3 shared papersBioinformatics

Liudmila Sergeevna MainzerORCID

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Author profile →

3 papers

Recent·Most cited

Design considerations for workflow management systems use in production genomics research and the clinic

Azza E. Ahmed, Joshua M. Allen, Tajesvi Bhat, Prakruthi Burra, Christina E. Fliege, Steven N. Hart, Jacob R. Heldenbrand, Matthew E. Hudson, Dave Deandre Istanto, Michael T. Kalmbach, Gregory D. Kapraun, Katherine I. Kendig, Matthew C. Kendzior, Eric W. Klee, Nate Mattson, , Liudmila Sergeevna Mainzer

This paper evaluates workflow management systems for genomics research and clinical use, comparing their features and suitability across different environments and use cases.

Scientific Reports · Nov 4, 2021Peer-reviewedBioinformatics

VarSAn: Associating pathways with a set of genomic variants using network analysis

Xiaoman Xie, Matthew C. Kendzior, Xiyu Ge, Liudmila Sergeevna Mainzer, Saurabh Sinha

VarSAn identifies disease-relevant pathways from genomic variants using network analysis, showing complementary results to gene-based enrichment tests.

Nucleic Acids Research · Jul 21, 2021Peer-reviewedBioinformatics

Managing genomic variant calling workflows with Swift/T

Azza E. Ahmed, Jacob R. Heldenbrand, Yan W. Asmann, Faisal M. Fadlelmola, Daniel S. Katz, Katherine I. Kendig, Matthew C. Kendzior, Tiffany Li, Yingxue Ren, Elliott Rodriguez, Matthew R. Weber, Justin M. Wozniak, Jennie Zermeno, Liudmila Sergeevna Mainzer

The paper describes a Swift/T wrapper for the GATK variant calling workflow to improve portability and maintainability across cluster environments.

PLoS ONE · Jul 9, 2019Peer-reviewedBioinformatics