Structure and function of the global ocean microbiome
By Shinichi Sunagawa, Luis Pedro Coelho, Samuel Chaffron, Jens Roat Kultima, K. Labadie, G. Salazar, Bardya Djahanschiri, Georg Zeller, Daniel R. Mende, A. Alberti and 40 more. 2015
2,530 citations recorded by the source corpus.
Subfields: Ecology, Environmental Chemistry, Molecular Biology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- Petr Pyšek
- D. Richardson
- Jonathan M. Jeschke
- P. Hulme
- H. MacIsaac
- Daniel Simberloff
- M. Vilà
- A. Ricciardi
In Environmental Chemistry
- H. MacIsaac
- P. Hulme
- A. Ricciardi
- D. Aldridge
- Julie L. Lockwood
- D. Richardson
- T. Blackburn
- Y. Bar-On
In Molecular Biology
- Martin Steinegger
- Johannes Söding
- Peer Bork
- A. M. Eren
- Tom O. Delmont
- Anders Krogh
- Jeroen Raes
- Shinichi Sunagawa
Citations in the corpus
- Clustering huge protein sequence sets in linear time (2017, background): “59 billion protein sequence fragments predicted by Prodigal [19] in 2200 metagenomic and metatranscriptomic datasets [3, 20, 21] downloaded mainly 200”
- MMseqs2: sensitive protein sequence searching for the analysis of massive data sets (2017, background): “In summary, in the original study BLAST was able to match 67% of the OM-RGC sequences to an eggNOG cluster [25], whereas MMseqs2 matched 78% with only 1.”
- Fast automated reconstruction of genome-scale metabolic models for microbial species and communities (2018, background): “However, a vast majority of relevant microbial communities, such as those residing in the human microbiota (16), ocean (17) or soil (18), still remain inaccessible for metabolic modeling due to the un-availability of the corresponding species-level models.”
- Eukaryotic plankton diversity in the sunlit ocean (2015, background): “tists may be even more diverse than prokaryotes in the planktonic ecosystem (63).”
- Four priority areas to advance invasion science in the face of rapid environmental change (2020, background): “Metagenomic sequencing of samples from only 68 ocean locations revealed over 35000 microbial “species” (Sunagawa et al. 2015).”
- Fast and sensitive taxonomic classification for metagenomics with Kaiju (2016, background): “Thus, metagenomic studies continuously find novel habitats where large fractions of the sequence data remain unclassified or only show low sequence similarities to the known species 11,12 .”