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Ocean Gene Atlas(OGA) is a webservice to explore the biogeography of marine genes based on sequence similarity with environmental genomics datasets. OGA is currently implemented with the Tara Ocean Microbiome-Reference Gene Catalog database and the Marine Atlas of Tara Ocean Unigenes. Gene abundance estimates are computed for DNA metagenomes from the smallest Tara Oceans size fractions (from 0 to 3 µm, OM-RGC), and for RNA metatranscriptomes from Tara Oceans larger size fractions (0.8 to 2000µm, MATOU). OGA also includes curated Tara Oceans Eukaryotic Metagenome and Single-Cell Assembled Genomes (MAGs and SAGs), metagenomics-based transcriptomes (MGTs) and metagenome-assembled bacterial and archaeal genomes from the polar Arctic Ocean (Arctic MAG+G).
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MINAS contains the exact geometric information on the first and second-shell coordinating ligands of every metal ion present in nucleic acid structures that are deposited in the PDB and NDB. Containing also the sequence information of the binding pocket-proximal nucleotides, this database allows for a detailed search of all combinations of potential ligands and of coordination environments of metal ions. MINAS is therefore a perfect new tool to classify metal ion binding pockets in nucleic acids by statistics and to draw general conclusions about the different coordination properties of these ions. This record has been marked as Uncertain because the homepage for this resource is no longer active, and we have not been able to get in touch with the owners of the resource. Please contact us if you have any information regarding MINAS.
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YamBase is a database containing breeding data for Yam (genus Dioscorea). Yam species that are being used for breeding include Dioscorea rotundata, Dioscorea cayenensis (both are native to Africa and the major cultivated species), Dioscorea aleata (native to Southeast Asia), and Dioscorea praehensilis, as well as several other species. YamBase contains phenotypic and genotypic data, as well as trial metadata from breeding programs in Africa.
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Ocean Gene Atlas(OGA) is a webservice to explore the biogeography of marine genes based on sequence similarity with environmental genomics datasets. OGA is currently implemented with the Tara Ocean Microbiome-Reference Gene Catalog database and the Marine Atlas of Tara Ocean Unigenes. Gene abundance estimates are computed for DNA metagenomes from the smallest Tara Oceans size fractions (from 0 to 3 µm, OM-RGC), and for RNA metatranscriptomes from Tara Oceans larger size fractions (0.8 to 2000µm, MATOU). OGA also includes curated Tara Oceans Eukaryotic Metagenome and Single-Cell Assembled Genomes (MAGs and SAGs), metagenomics-based transcriptomes (MGTs) and metagenome-assembled bacterial and archaeal genomes from the polar Arctic Ocean (Arctic MAG+G).
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MINAS contains the exact geometric information on the first and second-shell coordinating ligands of every metal ion present in nucleic acid structures that are deposited in the PDB and NDB. Containing also the sequence information of the binding pocket-proximal nucleotides, this database allows for a detailed search of all combinations of potential ligands and of coordination environments of metal ions. MINAS is therefore a perfect new tool to classify metal ion binding pockets in nucleic acids by statistics and to draw general conclusions about the different coordination properties of these ions. This record has been marked as Uncertain because the homepage for this resource is no longer active, and we have not been able to get in touch with the owners of the resource. Please contact us if you have any information regarding MINAS.
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YamBase is a database containing breeding data for Yam (genus Dioscorea). Yam species that are being used for breeding include Dioscorea rotundata, Dioscorea cayenensis (both are native to Africa and the major cultivated species), Dioscorea aleata (native to Southeast Asia), and Dioscorea praehensilis, as well as several other species. YamBase contains phenotypic and genotypic data, as well as trial metadata from breeding programs in Africa.
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