Author

Heiner Klingenberg

University of Göttingen

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· 3

Signature Assays, Organisms & Methods

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Assay:metagenomics· 3 Research Focus:benchmarking· 2 Approach:statistical model· 2 Organism:bacteria (other)· 1 Approach:benchmark study· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Peter MeinickeiD· 3 shared Aaron E. DarlingiD· 1 shared Adrian FritziD· 1 shared Alexander SczyrbaiD· 1 shared Alexey A. GurevichiD· 1 shared Alice Carolyn McHardyiD· 1 shared Andreas BremgesiD· 1 shared Bernhard Y. RenardiD· 1 shared

Activity by Year

2017-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersBioinformatics

Peter MeinickeORCID

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Author profile →

3 papers

Recent·Most cited

BinChecker: a new algorithm for quality assessment of microbial draft genomes

Heiner Klingenberg, Peter Meinicke

BinChecker assesses microbial draft genome quality using adaptive clustering and protein domain analysis, achieving accuracy comparable to existing methods with faster performance.

bioRxiv · Oct 1, 2021 · PreprintBioinformatics

How To Normalize Metatranscriptomic Count Data For Differential Expression Analysis

Heiner Klingenberg, Peter Meinicke

This paper introduces a normalization method for metatranscriptomic data that accounts for taxonomic composition differences to improve differential expression analysis.

PeerJ · Oct 17, 2017Peer-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