A curated protein dataset for taxonomic classification of Prochlorococcus and Synechococcus in metagenomes.
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| Title: | A curated protein dataset for taxonomic classification of Prochlorococcus and Synechococcus in metagenomes. |
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| Authors: | Coe A; Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. a_coe@mit.edu., Mullet JI; Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA., Vo NN; Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA., Berube PM; Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA., Anjur-Dietrich MI; Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA., Salcedo E; Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA., Parker SM; Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA., VonEmster K; Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA., Bliem C; Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA., Arellano AA; Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA., Castro KG; Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA., Becker JW; Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA., Chisholm SW; Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA. |
| Source: | Scientific data [Sci Data] 2025 Dec 03; Vol. 12 (1), pp. 1895. Date of Electronic Publication: 2025 Dec 03. |
| Publication Type: | Journal Article; Dataset |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101640192 Publication Model: Electronic Cited Medium: Internet ISSN: 2052-4463 (Electronic) Linking ISSN: 20524463 NLM ISO Abbreviation: Sci Data Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2052-4463 |
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| DOI: | 10.1038/s41597-025-06164-5 |
