Author

P. Hingamp

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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Ecology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Assay:metagenomics· 2 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

C. Bowler· 2 shared H. Ogata· 2 shared M. B. Sullivan· 2 shared P. Bork· 2 shared S. G. Acinas· 2 shared S. Pesant· 2 shared S. Sunagawa· 2 shared A. Kamau· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

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2 shared papersEcology

C. Bowler

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2 papers

Recent·Most cited

Global observation of plankton communities from space

H. Kaneko, H. Endo, N. Henry, C. Berney, F. Mahe, J. Poulain, K. Labadie, O. Beluche, R. El Hourany, Tara Oceans Coordinators, S. Chaffron, P. Wincker, R. Nakamura, L. Karp-Boss, E. Boss, , S. Sunagawa

The paper uses satellite data and machine learning to predict global plankton community distributions with 67% accuracy, outperforming temperature and chlorophyll a alone.

bioRxiv · Sep 23, 2022 · PreprintEcology

Metabolic Architecture of the Deep Ocean Microbiome

S. G. Acinas, P. Sanchez, G. Salazar, F. M. Cornejo-Castillo, M. Sebastian, R. Logares, S. Sunagawa, P. Hingamp, H. Ogata, G. Lima-Mendez, S. Roux, J. M. Gonzalez, J. M. Arrieta, I. S. Alam, A. Kamau, , J. M. Gasol

The paper analyzes deep ocean microbial metagenomes to reveal functional diversity and metabolic strategies in the dark ocean.

bioRxiv · May 13, 2019Microbiology