Author

Stefan Milosavljevic

SIB Swiss Institute of BioinformaticsORCID 0000-0002-9135-1353Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Assay:DNA methylation· 1

Frequent Co-Authors

Mark D. RobinsoniD· 2 shared Ahmad Al-AjamiiD· 1 shared Almut LuetgeiD· 1 shared Anthony SonreliD· 1 shared Charlotte SonesoniD· 1 shared Dominique Paul· 1 shared Elyas HeidariiD· 1 shared Emanuel SonderiD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Mark D. RobinsonORCID

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2 papers

Recent·Most cited

Meta-analysis of (single-cell method) benchmarks reveals the need for extensibility and interoperability

Anthony Sonrel, Almut Luetge, Charlotte Soneson, Izaskun Mallona, Pierre‐Luc Germain, Sergey Knyazev, Jeroen Gilis, Reto Gerber, Ruth Seurinck, Dominique Paul, Emanuel Sonder, Helena Lucia Crowell, Imran Fanaswala, Ahmad Al-Ajami, Elyas Heidari, , Mark D. Robinson

This paper meta-analyzes single-cell method benchmarks to identify challenges in extensibility, interoperability, and reproducibility.

bioRxiv · Sep 22, 2022 · PreprintBioinformatics

ARPEGGIO: Automated Reproducible Polyploid EpiGenetic GuIdance workflOw

Stefan Milosavljevic, Tony Chien-Yen Kuo, Samuele Decarli, Lucas Mohn, Jun Sese, Kentaro K. Shimizu, Rie Shimizu‐Inatsugi, Mark D. Robinson

ARPEGGIO provides an automated workflow for analyzing epigenetic data in polyploids, improving accuracy and reproducibility in DNA methylation analysis of allopolyploids.

BMC Genomics · Jul 17, 2021Peer-reviewedBioinformatics