Author

Eric D. Wieben

Mayo ClinicORCID 0000-0002-8708-0968Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 2 Research Focus:variant calling· 2 Assay:whole-genome sequencing· 2 Approach:benchmark study· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

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

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Derek E. WildmanORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

GeneticsbioRxivPreprintAug 25, 2022

Single cell multiomic analyses reveal divergent effects of DNMT3A and TET2 mutant clonal hematopoiesis in inflammatory response

Wazim Mohammed Ismail, Jenna A. Fernandez, Moritz Binder…·Mrinal M. Patnaik

This study uses single cell multiomic analyses to show DNMT3A mutations in clonal hematopoiesis worsen inflammatory outcomes in COVID-19 by increasing IL32 expression and chromatin accessibility.

DOI 10.1101/2022.08.25.505316

humanscRNA-seq

𝕏 PostBluesky

BioinformaticsFrontiers in GeneticsPeer-reviewedAug 20, 2019

Computational performance and accuracy of Sentieon DNASeq variant calling workflow

Katherine I. Kendig, Saurabh Baheti, Matthew A. Bockol…·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.

270 citationstop 2%

whole-genome sequencingstatistical model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJun 18, 2018

Performance benchmarking of GATK3.8 and GATK4

Jacob R. Heldenbrand, Saurabh Baheti, Matthew A. Bockol…·Liudmila Sergeevna Mainzer

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

13 citations

whole-genome sequencingbenchmark study

𝕏 PostBluesky