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Identification of OBO nonalignments and its implications for OBO enrichment.

机译:确定OBO不结盟及其对OBO富集的影响。

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Existing projects that focus on the semiautomatic addition of links between existing terms in the Open Biomedical Ontologies can take advantage of reasoners that can make new inferences between terms that are based on the added formal definitions and that reflect nonalignments between the linked terms. However, these projects require that these definitions be necessary and sufficient, a strong requirement that often does not hold. If such definitions cannot be added, the reasoners cannot point to the nonalignments through the suggestion of new inferences. RESULTS: We describe a methodology by which we have identified over 1900 instances of nonredundant nonalignments between terms from the Gene Ontology (GO) biological process (BP), cellular component (CC) and molecular function (MF) ontologies, Chemical Entities of Biological Interest (ChEBI) and the Cell Type Ontology (CL). Many of the 39.8% of these nonalignments whose object terms are more atomic than the subject terms are not currently examined in other ontology-enrichment projects due to the fact that the necessary and sufficient conditions required for the inferences are not currently examined. Analysis of the ratios of nonalignments to assertions from which the nonalignments were identified suggests that BP-MF, BP-BP, BP-CL and CC-CC terms are relatively well-aligned, while ChEBI-MF, BP-ChEBI and CC-MF terms are relatively not aligned well. We propose four ways to resolve an identified nonalignment and recommend an analogous implementation of our methodology in ontology-enrichment tools to identify types of nonalignments that are currently not detected. AVAILABILITY: The nonalignments discussed in this article may be viewed at http://compbio.uchsc.edu/Hunter_lab/Badaonalignments_2008_03_06.html. Code for the generation of these nonalignments is available upon request. CONTACT: mike.bada@uchsc.edu.
机译:专注于半自动添加开放式生物医学本体中现有术语之间的链接的现有项目可以利用推理程序,这些推理程序可以在基于添加的正式定义的术语之间进行新的推断,并反映所链接术语之间的不一致性。但是,这些项目要求这些定义是必要和充分的,而这通常并不适用。如果无法添加此类定义,则推理者将无法通过提出新的推论来指出这种不一致性。结果:我们描述了一种方法,通过该方法,我们已经识别出1900多个实例,这些实例来自基因本体(GO)生物过程(BP),细胞成分(CC)和分子功能(MF)本体,生物感兴趣的化学实体中的术语(ChEBI)和单元格类型本体论(CL)。这些对象对象项比主题项原子性强的39.8%的不对齐中的许多当前未在其他本体充实项目中进行检查,原因是当前未检查推理所需的必要条件和充分条件。对未对齐与断言比例的分析表明,BP-MF,BP-BP,BP-CL和CC-CC术语相对对齐,而ChEBI-MF,BP-ChEBI和CC-MF术语相对而言不太一致。我们提出了四种方法来解决已识别的不匹配问题,并建议在本体扩充工具中以类似方式实施我们的方法,以识别当前未检测到的不匹配类型。可用性:可以在http://compbio.uchsc.edu/Hunter_lab/Badaonalignments_2008_03_06.html上查看本文中讨论的不一致性。可根据要求提供用于生成这些不对齐的代码。联系人:mike.bada@uchsc.edu。

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