Author

Robert Egan

Joint Genome Institute

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Bioinformatics· 2

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Assay:metagenomics· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:deep learning· 1

Frequent Co-Authors

Zhong WangiD· 2 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 Andrew TrittiD· 1 shared

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2017-2024 · peak 1/yr

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10 top collaborators · 31 mutual co-author links

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2 shared papersBioinformatics

Zhong WangORCID

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2 papers

Recent·Most cited

GenomeFace: a deep learning-based metagenome binner trained on 43,000 microbial genomes

Richard Lettich, Robert Egan, Robert W. Riley, Zhong Wang, Andrew Tritt, Leonid Oliker, Katherine Yelick, Aydın Buluç

GenomeFace improves metagenomic binning by combining composition and environmental abundance networks, producing more near-complete genomes faster than existing methods.

bioRxiv · Feb 7, 2024 · PreprintBioinformatics

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