Variation Ontology for annotation of variation effects and mechanisms.
(2013) In Genome Research- Abstract
- Ontology organizes and formally conceptualizes information in a knowledge domain with a controlled vocabulary having defined terms and relationships between them. Several ontologies have been used to annotate numerous databases in biology and medicine. Due to their unambiguous nature, ontological annotations facilitate systematic description and data organization, data integration and mining, pattern recognition and statistics, as well as development of analysis and prediction tools. The Variation Ontology was developed to allow the annotation of effects, consequences and mechanisms of DNA, RNA and protein variations. Variation types are systematically organized and a detailed description of effects and mechanisms is possible. VariO is for... (More)
- Ontology organizes and formally conceptualizes information in a knowledge domain with a controlled vocabulary having defined terms and relationships between them. Several ontologies have been used to annotate numerous databases in biology and medicine. Due to their unambiguous nature, ontological annotations facilitate systematic description and data organization, data integration and mining, pattern recognition and statistics, as well as development of analysis and prediction tools. The Variation Ontology was developed to allow the annotation of effects, consequences and mechanisms of DNA, RNA and protein variations. Variation types are systematically organized and a detailed description of effects and mechanisms is possible. VariO is for annotating the variant, not the normal state features or properties, and requires a reference (e.g. reference sequence, reference state property, activity etc) compared to which the changes are indicated. VariO is versatile and can be used for variations ranging from genomic multiplications to single nucleotide or amino acid changes whether of genetic or non-genetic origin. VariO annotations are position specific and can be used for variations in any organism. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4142983
- author
- Vihinen, Mauno LU
- organization
- publishing date
- 2013-10-25
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Genome Research
- publisher
- Cold Spring Harbor Laboratory Press (CSHL)
- external identifiers
-
- pmid:24162187
- wos:000330696800018
- scopus:84893636595
- pmid:24162187
- ISSN
- 1549-5469
- DOI
- 10.1101/gr.157495.113
- language
- English
- LU publication?
- yes
- id
- 3965d615-f8e5-48f5-9a00-eb5d641181f8 (old id 4142983)
- alternative location
- http://www.ncbi.nlm.nih.gov/pubmed/24162187?dopt=Abstract
- date added to LUP
- 2016-04-01 14:17:19
- date last changed
- 2022-04-22 02:29:14
@article{3965d615-f8e5-48f5-9a00-eb5d641181f8, abstract = {{Ontology organizes and formally conceptualizes information in a knowledge domain with a controlled vocabulary having defined terms and relationships between them. Several ontologies have been used to annotate numerous databases in biology and medicine. Due to their unambiguous nature, ontological annotations facilitate systematic description and data organization, data integration and mining, pattern recognition and statistics, as well as development of analysis and prediction tools. The Variation Ontology was developed to allow the annotation of effects, consequences and mechanisms of DNA, RNA and protein variations. Variation types are systematically organized and a detailed description of effects and mechanisms is possible. VariO is for annotating the variant, not the normal state features or properties, and requires a reference (e.g. reference sequence, reference state property, activity etc) compared to which the changes are indicated. VariO is versatile and can be used for variations ranging from genomic multiplications to single nucleotide or amino acid changes whether of genetic or non-genetic origin. VariO annotations are position specific and can be used for variations in any organism.}}, author = {{Vihinen, Mauno}}, issn = {{1549-5469}}, language = {{eng}}, month = {{10}}, publisher = {{Cold Spring Harbor Laboratory Press (CSHL)}}, series = {{Genome Research}}, title = {{Variation Ontology for annotation of variation effects and mechanisms.}}, url = {{https://lup.lub.lu.se/search/files/3892460/4253294.pdf}}, doi = {{10.1101/gr.157495.113}}, year = {{2013}}, }