Author

Matthew A. Bockol

Mayo Clinic

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· 2

Signature Assays, Organisms & Methods

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Research Focus:variant calling· 2 Assay:whole-genome sequencing· 2 Approach:benchmark study· 1 Approach:statistical model· 1

Frequent Co-Authors

Derek E. WildmaniD· 2 shared Eric D. WiebeniD· 2 shared Eric W. KleeiD· 2 shared Jacob R. Heldenbrand· 2 shared Liudmila Sergeevna MainzeriD· 2 shared Mathieu Wiepert· 2 shared Matthew E. HudsoniD· 2 shared Michael T. Kalmbach· 2 shared

Activity by Year

2018-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Derek E. WildmanORCID

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2 papers

Recent·Most cited

Computational performance and accuracy of Sentieon DNASeq variant calling workflow

Katherine I. Kendig, Saurabh Baheti, Matthew A. Bockol, Travis Drucker, Steven N. Hart, Jacob R. Heldenbrand, Mikel Hernáez, Matthew E. Hudson, Michael T. Kalmbach, Eric W. Klee, Nathan R. Mattson, Christian A Ross, Morgan L. Taschuk, Eric D. Wieben, Mathieu Wiepert, , Liudmila Sergeevna Mainzer

This study compares the accuracy and performance of Sentieon DNASeq and GATK for single-sample variant calling, finding they are nearly identical in accuracy with Sentieon being faster and more scalable.

Frontiers in Genetics · Aug 20, 2019Peer-reviewedBioinformatics

Performance benchmarking of GATK3.8 and GATK4

Jacob R. Heldenbrand, Saurabh Baheti, Matthew A. Bockol, Travis Drucker, Steven N. Hart, Matthew E. Hudson, Ravishankar K. Iyer, Michael T. Kalmbach, Eric W. Klee, Eric D. Wieben, Mathieu Wiepert, Derek E. Wildman, Liudmila Sergeevna Mainzer

This study benchmarks GATK3.8 and GATK4 to evaluate performance improvements and cost trade-offs in genomic variant calling.

bioRxiv · Jun 18, 2018 · PreprintBioinformatics