Author

Ole Schulz-Trieglaff

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· 4

Signature Assays, Organisms & Methods

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Research Focus:variant calling· 4 Assay:whole-genome sequencing· 4 Approach:statistical model· 3 Organism:bacteria (other)· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Research Focus:genome assembly· 1

Frequent Co-Authors

Anthony J Cox· 3 shared Jared O'Connell· 2 shared Rudy Arthur· 2 shared Anthony J. Cox· 1 shared Bret Barnes· 1 shared Christopher T. SaundersiD· 1 shared Emma Carlson· 1 shared Felix Schlesinger· 1 shared

Activity by Year

2015-2016 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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3 shared papersBioinformatics

Anthony J Cox

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

AKT: Ancestry and Kinship Toolkit

Rudy Arthur, Ole Schulz-Trieglaff, Anthony J Cox, Jared Michael O'Connell

AKT is a statistical genetics tool that analyzes whole-genome sequenced samples to detect relatedness, characterize ancestry, and perform clustering.

Bioinformatics · Sep 14, 2016Peer-reviewedBioinformatics

Manta: Rapid detection of structural variants and indels for clinical sequencing applications

Xiaoyu Chen, Ole Schulz-Trieglaff, Richard Shaw, Bret Barnes, Felix Schlesinger, Anthony J. Cox, Semyon Kruglyak, Christopher T. Saunders

Manta rapidly detects structural variants and indels in clinical sequencing by optimizing speed and accuracy for germline and somatic analysis.

Bioinformatics · Dec 8, 2015Peer-reviewedBioinformatics

Rapid Genotype Refinement for Whole-Genome Sequencing Data using Multi-Variate Normal Distributions

Rudy Arthur, Jared O'Connell, Ole Schulz-Trieglaff, Anthony J Cox

The paper introduces a fast genotype refinement method using multivariate normal distributions for whole-genome sequencing data, showing it is hundreds of times faster than existing methods.

bioRxiv · Nov 12, 2015Bioinformatics

NxTrim: optimized trimming of Illumina mate pair reads

Jared O'Connell, Ole Schulz-Trieglaff, Emma Carlson, Matthew M Hims, Niall A Gormley, Anthony J Cox

NxTrim optimizes trimming of Illumina NMP mate pair reads by minimizing data loss, improving bacterial genome de novo assembly.

Bioinformatics · Feb 5, 2015Peer-reviewedBioinformatics