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| -rw-r--r-- | topics/next-gen-databases/gn-classification-scheme.gmi | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/topics/next-gen-databases/gn-classification-scheme.gmi b/topics/next-gen-databases/gn-classification-scheme.gmi index 2d66f3c..e65de04 100644 --- a/topics/next-gen-databases/gn-classification-scheme.gmi +++ b/topics/next-gen-databases/gn-classification-scheme.gmi @@ -4,13 +4,13 @@ In GeneNetwork (GN), data is grouped into specific discrete categories. Let's d * Species: This category groups data based on different species, like humans, mice, or plants. * Set/Group (InbredSet): This groups data according to a group of genetically similar organisms. -* DatasetType: This classified data according to it's type. There are three main types: Genotypes (genetic makeup), Molecular Traits (molecular characteristics), and Phenotypes (observable traits). +* DatasetType: This classifies data according to it's type. There are three main types: Genotypes, Molecular Traits, and Phenotypes. The aforementioned classification scheme is inspired by GN's menu structure which forms the skeleton of the proposed classification. You can query metadata about this classification: "gn:ResourceClassificationScheme". This classification scheme has 3 levels: * gnc:DatasetType * gnc:Set -* gn:Species. +* gn:Species Here's a depper look at each level: @@ -18,7 +18,7 @@ Here's a depper look at each level: * gnc:Set: This level includes all the members listed in the InbredSet table. * gn:Species: This level consists of all the members from the Species table. -The beauty of this system is that most of the resources in GN can be accurately categorized using it. Instead of using specific properties like "gnt:belongsToSpecies" or "gnt:belongsToSet," we can utilize the xkos⁰ approach. For instance, to classify a resource, we can use the concept of xkos and apply the relationship "xkos:classifiedUnder." Here's an example of a resource that has been classified: +The beauty of this system is that most of the resources in GN can be accurately categorized using it. Instead of using specific properties like "gnt:belongsToSpecies" or "gnt:belongsToSet," we can utilize the xkos[0] approach. For instance, to classify a resource, we can use the concept of xkos and apply the relationship "xkos:classifiedUnder." Here's an example of a resource that has been classified: ``` gn:Gtexv8_sto_0220 xkos:classifiedUnder gnc:Probeset . @@ -42,4 +42,4 @@ SELECT * WHERE { } ``` -=> https://rdf-vocabulary.ddialliance.org/xkos.html ⁰ XKOS: An SKOS extension for representing statistical classifications. +=> https://rdf-vocabulary.ddialliance.org/xkos.html [0] XKOS: An SKOS extension for representing statistical classifications. |