Author

Peter Hofmann

Helmholtz Centre for Infection ResearchORCID 0000-0002-8404-2544Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 3 Assay:metagenomics· 3 Approach:benchmark study· 2 Organism:human· 1 Organism:mouse· 1 Approach:simulation· 1

Frequent Co-Authors

Adrian FritziD· 3 shared Alexander SczyrbaiD· 3 shared Alice Carolyn McHardyiD· 3 shared Peter BelmanniD· 3 shared Aaron E. DarlingiD· 2 shared Andreas BremgesiD· 2 shared Eik DahmsiD· 2 shared Fernando MeyeriD· 2 shared

Activity by Year

2017-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersBioinformatics

Adrian FritzORCID

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3 papers

Recent·Most cited

CAMISIM: Simulating metagenomes and microbial communities

Adrian Fritz, Peter Hofmann, Stephan Majda, Eik Dahms, Johannes Dröge, Jessika Fiedler, Till Robin Lesker, Peter Belmann, Matthew Z. DeMaere, Aaron E. Darling, Alexander Sczyrba, Andreas Bremges, Alice Carolyn McHardy

CAMISIM simulates microbial communities and metagenomes with truth standards, enabling benchmarking of metagenomic analysis tools.

Microbiome · Feb 8, 2019Peer-reviewedBioinformatics

AMBER: Assessment of Metagenome BinnERs

Fernando Meyer, Peter Hofmann, Peter Belmann, Rubén Garrido‐Oter, Adrian Fritz, Alexander Sczyrba, Alice Carolyn McHardy

AMBER evaluates genome binning tools using benchmark datasets and provides performance metrics and visualizations.

GigaScience · Jun 1, 2018Peer-reviewedBioinformatics

Critical Assessment of Metagenome Interpretation - a benchmark of computational metagenomics software

Alexander Sczyrba, Peter Hofmann, Peter Belmann, David Koslicki, Stefan Janssen, Johannes Dröge, Ivan Gregor, Stephan Majda, Jessika Fiedler, Eik Dahms, Andreas Bremges, Adrian Fritz, Rubén Garrido‐Oter, Tue Sparholt Jørgensen, Nicole Shapiro, , Alice Carolyn McHardy

The paper benchmarks computational metagenomics software using complex datasets, showing strengths and limitations in assembly, binning, and taxonomic profiling.

Nature Methods · Oct 2, 2017Peer-reviewedBioinformatics