Author

Olga Mineeva

Max Planck Society

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· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:deep learning· 2 Assay:metagenomics· 2 Organism:bacteria (other)· 1 Research Focus:gene regulatory network inference· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1 Organism:virus· 1

Frequent Co-Authors

Bernhard SchölkopfiD· 2 shared Nicholas D. YoungblutiD· 2 shared Ruth E. LeyiD· 2 shared Daniel DanciuiD· 1 shared Gunnar RätschiD· 1 shared Mateo Rojas-Carulla· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 13 mutual co-author links

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2 shared papersBioinformatics

Bernhard SchölkopfORCID

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2 papers

Recent·Most cited

BioinformaticsPLoS Computational BiologyPeer-reviewedMay 1, 2023

ResMiCo: increasing the quality of metagenome-assembled genomes with deep learning

Olga Mineeva, Daniel Danciu, Bernhard Schölkopf…·Nicholas D. Youngblut

ResMiCo improves metagenome assembly quality by accurately identifying misassembled contigs using deep learning, achieving better performance than existing methods.

10 citations

metagenomicsdeep learning

BioinformaticsBioinformaticsPeer-reviewedFeb 18, 2020

DeepMAsED: Evaluating the quality of metagenomic assemblies

Olga Mineeva, Mateo Rojas-Carulla, Ruth E. Ley…·Nicholas D. Youngblut

DeepMAsED evaluates metagenomic assembly quality using deep learning, identifying misassembled contigs without references and showing high accuracy on large assemblies.

48 citations

bacteria (other)virus