Genomic analysis


Ontology type: npg:Subject  | skos:Concept     


Concept Info

NAME

Genomic analysis

DESCRIPTION

Genomic analysis is the identification, measurement or comparison of genomic features such as DNA sequence, structural variation, gene expression, or regulatory and functional element annotation at a genomic scale. Methods for genomic analysis typically require high-throughput sequencing or microarray hybridization and bioinformatics.

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JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/ontologies/subjects/genomic-analysis'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/ontologies/subjects/genomic-analysis'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/ontologies/subjects/genomic-analysis'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/ontologies/subjects/genomic-analysis'


 

This table displays all metadata directly associated to this object as RDF triples.

192 TRIPLES      9 PREDICATES      18 URIs      4 LITERALS

Subject Predicate Object
1 sg:ontologies/subjects/genomic-analysis sgo:license sg:explorer/license/
2 sgo:sdDataset onto_subjects
3 rdf:type npg:Subject
4 skos:Concept
5 rdfs:label Genomic analysis
6 skos:broader sg:ontologies/subjects/biological-techniques
7 skos:definition Genomic analysis is the identification, measurement or comparison of genomic features such as DNA sequence, structural variation, gene expression, or regulatory and functional element annotation at a genomic scale. Methods for genomic analysis typically require high-throughput sequencing or microarray hybridization and bioinformatics.
8 skos:inScheme sg:ontologies/subjects/
9 skos:narrower sg:ontologies/subjects/chromatin-immunoprecipitation
10 sg:ontologies/subjects/comparative-genomic-hybridization
11 sg:ontologies/subjects/comparative-genomics
12 sg:ontologies/subjects/gene-expression-profiling
13 sg:ontologies/subjects/genome-wide-analysis-of-gene-expression
14 sg:ontologies/subjects/genome-wide-association-studies
15 sg:ontologies/subjects/population-genetics
16 sg:ontologies/subjects/whole-genome-amplification
17 skos:prefLabel Genomic analysis
18 sg:ontologies/subjects/ dcterms:description The Nature Subjects Taxonomy is a polyhierarchical categorization of scholarly subject areas which are used for the indexing of content by Springer Nature.
19 dcterms:title Nature Subjects Taxonomy
20 sgo:sdDataset onto_subjects
21 rdf:type skos:ConceptScheme
22 skos:hasTopConcept sg:ontologies/subjects/DEPRECATED
23 sg:ontologies/subjects/biological-sciences
24 sg:ontologies/subjects/business-and-commerce
25 sg:ontologies/subjects/earth-and-environmental-sciences
26 sg:ontologies/subjects/health-sciences
27 sg:ontologies/subjects/humanities
28 sg:ontologies/subjects/physical-sciences
29 sg:ontologies/subjects/scientific-community-and-society
30 sg:ontologies/subjects/social-science
31 sg:ontologies/subjects/biological-techniques sgo:sdDataset onto_subjects
32 rdf:type npg:Subject
33 skos:Concept
34 rdfs:label Biological techniques
35 skos:altLabel Methodological Studies
36 Methodological Study
37 Methods
38 Procedure
39 Procedures
40 skos:broader sg:ontologies/subjects/biological-sciences
41 skos:definition Biological techniques are methods or procedures that are used to study living things. They include experimental and computational methods, approaches, protocols and tools for biological research.
42 skos:inScheme sg:ontologies/subjects/
43 skos:narrower sg:ontologies/subjects/analytical-biochemistry
44 sg:ontologies/subjects/behavioural-methods
45 sg:ontologies/subjects/bioinformatics
46 sg:ontologies/subjects/biological-models
47 sg:ontologies/subjects/biophysical-methods
48 sg:ontologies/subjects/cytological-techniques
49 sg:ontologies/subjects/electrophysiology
50 sg:ontologies/subjects/epigenetics-analysis
51 sg:ontologies/subjects/experimental-organisms
52 sg:ontologies/subjects/gene-delivery
53 sg:ontologies/subjects/gene-expression-analysis
54 sg:ontologies/subjects/genetic-engineering
55 sg:ontologies/subjects/genetic-techniques
56 sg:ontologies/subjects/genomic-analysis
57 sg:ontologies/subjects/high-throughput-screening
58 sg:ontologies/subjects/imaging
59 sg:ontologies/subjects/immunological-techniques
60 sg:ontologies/subjects/isolation-separation-purification
61 sg:ontologies/subjects/lab-on-a-chip
62 sg:ontologies/subjects/mass-spectrometry
63 sg:ontologies/subjects/metabolomics
64 sg:ontologies/subjects/microbiology-techniques
65 sg:ontologies/subjects/microscopy
66 sg:ontologies/subjects/molecular-engineering
67 sg:ontologies/subjects/nanobiotechnology
68 sg:ontologies/subjects/optogenetics
69 sg:ontologies/subjects/proteomic-analysis
70 sg:ontologies/subjects/sensors-and-probes
71 sg:ontologies/subjects/sequencing
72 sg:ontologies/subjects/software
73 sg:ontologies/subjects/spectroscopy
74 sg:ontologies/subjects/structure-determination
75 skos:prefLabel Biological techniques
76 sg:ontologies/subjects/chromatin-immunoprecipitation sgo:sdDataset onto_subjects
77 rdf:type npg:Subject
78 skos:Concept
79 rdfs:label Chromatin immunoprecipitation
80 skos:altLabel ChIP
81 ChIP-Seq
82 ChIP-chip
83 skos:broader sg:ontologies/subjects/genomic-analysis
84 skos:definition Chromatin immunoprecipitation (ChIP) is a technique for identifying DNA sequences associated with specific proteins in vivo. The association of DNA fragments with a binding protein, such as a transcription factor or modified histone, can be assessed by sequencing, microarrays or PCR after precipitation with an antibody that recognizes the protein.
85 skos:inScheme sg:ontologies/subjects/
86 skos:prefLabel Chromatin immunoprecipitation
87 sg:ontologies/subjects/comparative-genomic-hybridization sgo:sdDataset onto_subjects
88 rdf:type npg:Subject
89 skos:Concept
90 rdfs:label Comparative genomic hybridization
91 skos:altLabel Array Based Comparative Genomic Hybridization
92 Array CGH
93 Array Comparative Genomic Hybridization
94 Array-Based Comparative Genomic Hybridization
95 Comparative Genome Hybridization
96 Comparative Genome Hybridizations
97 Comparative Genomic Hybridizations
98 Comparative genomic analysis
99 ROMA
100 Representational oligonucleotide microarray analysis
101 aCGH
102 skos:broader sg:ontologies/subjects/genomic-analysis
103 skos:definition Comparative genomic hybridization (CGH) is a method for detecting regional variation in DNA copy number between a test and a control genomic sample. It is used to find the location of large changes including deletions, duplications and amplifications.
104 skos:inScheme sg:ontologies/subjects/
105 skos:prefLabel Comparative genomic hybridization
106 sg:ontologies/subjects/comparative-genomics sgo:sdDataset onto_subjects
107 rdf:type npg:Subject
108 skos:Concept
109 rdfs:label Comparative genomics
110 skos:broader sg:ontologies/subjects/genomic-analysis
111 sg:ontologies/subjects/genomics
112 skos:definition Comparative genomics deals with the processes of evolution via the alignment and analysis of genes and genomes of living or extinct organisms related by varying degrees of evolutionary divergence from a common ancestor. Comparisons are usually made pairwise with reference to a third genome 'outgroup' or by examination of pairs of paired sequences and summarized in phylogenetic trees.
113 skos:inScheme sg:ontologies/subjects/
114 skos:prefLabel Comparative genomics
115 sg:ontologies/subjects/gene-expression-profiling sgo:sdDataset onto_subjects
116 rdf:type npg:Subject
117 skos:Concept
118 rdfs:label Gene expression profiling
119 skos:altLabel Gene Expression Monitoring
120 Gene Expression Monitorings
121 Gene Expression Pattern Analysis
122 Gene Expression Profile
123 Gene Expression Profiles
124 Gene Expression Profilings
125 Gene Expression Signature
126 Gene Expression Signatures
127 Transcript Expression Analyses
128 Transcript Expression Analysis
129 Transcriptome
130 Transcriptomes
131 mRNA Differential Display
132 mRNA Differential Displays
133 skos:broader sg:ontologies/subjects/functional-genomics
134 sg:ontologies/subjects/genomic-analysis
135 skos:definition Gene expression profiling is the determination of the pattern of genes expressed, at the level of transcription, under specific circumstances or in a specific cell to give a global picture of cellular function. Techniques to measure this include DNA microarrays which measure the relative activity of previously identified target genes, or sequencing technologies that allow profiling of all active genes.
136 skos:inScheme sg:ontologies/subjects/
137 skos:prefLabel Gene expression profiling
138 sg:ontologies/subjects/genome-wide-analysis-of-gene-expression sgo:sdDataset onto_subjects
139 rdf:type npg:Subject
140 skos:Concept
141 rdfs:label Genome-wide analysis of gene expression
142 skos:altLabel Gene set enrichment analysis
143 Transcriptomics
144 skos:broader sg:ontologies/subjects/genomic-analysis
145 skos:definition Genome-wide analysis of gene expression is the study of transcription at a genomic scale, also known as transcriptomics. Typically relying on data from microarrays or high throughput sequencing, it can determine what genes or transcript isoforms are enriched in a particular cell or tissue type, condition, disease or phenotype.
146 skos:inScheme sg:ontologies/subjects/
147 skos:prefLabel Genome-wide analysis of gene expression
148 sg:ontologies/subjects/genome-wide-association-studies sgo:sdDataset onto_subjects
149 rdf:type npg:Subject
150 skos:Concept
151 rdfs:label Genome-wide association studies
152 skos:altLabel GWA Studies
153 GWA Study
154 Genetic Association Analyses
155 Genetic Association Analysis
156 Genome Wide Association Analysis
157 Genome Wide Association Scan
158 Genome Wide Association Studies
159 Genome Wide Association Study
160 Genome-Wide Association Study
161 Whole Genome Association Analysis
162 Whole Genome Association Study
163 skos:broader sg:ontologies/subjects/genetic-association-study
164 sg:ontologies/subjects/genomic-analysis
165 skos:definition Genome-wide association studies (GWASs) are unbiased genome screens of unrelated individuals and appropriately matched controls or parent-affected child trios to establish whether any genetic variant is associated with a trait. These studies typically focus on associations between single-nucleotide polymorphisms (SNPs) and major diseases.
166 skos:inScheme sg:ontologies/subjects/
167 skos:prefLabel Genome-wide association studies
168 sg:ontologies/subjects/population-genetics sgo:sdDataset onto_subjects
169 rdf:type npg:Subject
170 skos:Concept
171 rdfs:label Population genetics
172 skos:broader sg:ontologies/subjects/evolution
173 sg:ontologies/subjects/genetics
174 sg:ontologies/subjects/genomic-analysis
175 skos:definition Population genetics is the study of the genetic composition of populations, including distributions and changes in genotype and phenotype frequency in response to the processes of natural selection, genetic drift, mutation and gene flow.
176 skos:inScheme sg:ontologies/subjects/
177 skos:narrower sg:ontologies/subjects/genetic-variation
178 skos:prefLabel Population genetics
179 sg:ontologies/subjects/whole-genome-amplification sgo:sdDataset onto_subjects
180 rdf:type npg:Subject
181 skos:Concept
182 rdfs:label Whole genome amplification
183 skos:altLabel WGA
184 skos:broader sg:ontologies/subjects/genomic-analysis
185 skos:definition Whole genome amplification is a method for generating many copies of an entire genome for downstream applications such as sequencing when starting material is limited.
186 skos:inScheme sg:ontologies/subjects/
187 skos:prefLabel Whole genome amplification
188 skos:Concept sgo:sdDataset for_codes
189 rdf:type rdfs:Class
190 rdfs:Resource
191 rdfs:subClassOf rdfs:Resource
192 skos:Concept
 




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