Author

Nicholas Stoler

Pennsylvania State UniversityORCID 0000-0002-2500-963XUnclaimed 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· 3 Research Focus:variant calling· 3 Assay:whole-genome sequencing· 3 Approach:experimental assay· 2 Research Focus:software / tool· 2 Organism:human· 1

Frequent Co-Authors

Anton NekrutenkoiD· 2 shared Gundula PovysiliD· 2 shared Irene Tiemann‐BoegeiD· 2 shared Kateryna D. MakovaiD· 2 shared Monika HeinzliD· 2 shared Renato SalazariD· 2 shared Adam Caprez· 1 shared Alex ReynoldsiD· 1 shared

Activity by Year

2018-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 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 papersGenomics

Anton NekrutenkoORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Distinct sequencing success at non-B-DNA motifs

Matthias H. Weissensteiner, Marzia Angela Cremona, Wilfried M. Guiblet, Nicholas Stoler, Robert S. Harris, Monika Čechová, Kristin A. Eckert, Francesca Chiaromonte, Yi-Fei Huang, Kateryna D. Makova

This study examines how non-B DNA motifs affect sequencing error rates across three technologies and proposes a method to estimate false-positive SNVs.

Genome Research · Jun 1, 2023Peer-reviewedGenomics

Increased yields of duplex sequencing data by a series of quality control tools

Gundula Povysil, Monika Heinzl, Renato Salazar, Nicholas Stoler, Anton Nekrutenko, Irene Tiemann‐Boege

The paper develops quality control tools to improve duplex sequencing data yields by reducing data loss and enhancing variant calling accuracy.

NAR Genomics and Bioinformatics · Jan 6, 2021Peer-reviewedGenomics

Family reunion via error correction: An efficient analysis of duplex sequencing data

Nicholas Stoler, Barbara Arbeithuber, Gundula Povysil, Monika Heinzl, Renato Salazar, Kateryna D. Makova, Irene Tiemann‐Boege, Anton Nekrutenko

The paper corrects errors in duplex sequencing data to reunite reads and improve the efficiency of variant detection.

BMC Bioinformatics · Mar 4, 2020Peer-reviewedBioinformatics

Bioconda: A sustainable and comprehensive software distribution for the life sciences

Björn Grüning, Ryan Dale, Andreas Sjödin, Brad Chapman, Jillian Rowe, Christopher H. Tomkins-Tinch, Renan Valieris, Adam Caprez, Bérénice Batut, Mathias Haudgaard, Thomas Cokelaer, Kyle A. Beauchamp, Brent S. Pedersen, Youri Hoogstrate, Anthony Bretaudeau, , Matthew L. Workentine

Bioconda provides a sustainable, comprehensive distribution of bioinformatics software using Conda for reproducible analysis across platforms.

Nature Methods · Jun 25, 2018Peer-reviewedBioinformatics