Acronym | PW |
Visibility | Public |
Description | The goal of the Pathway Ontology is to cover all types of biological pathways, including altered and disease pathways, and to capture the relationships between them within the hierarchical structure of a Directed Acyclic Graph (DAG). The five nodes of the ontology are: classic metabolic, regulatory, signaling, drug and disease pathways. An extensive survey of the review literature along with searches of existing pathway databases have been used to choose terms and their position within the tree. The ontology is continually expanding along with the development of Pathway and Disease Portals at RGD. Mapping of pathways in other databases to terms in PW as synonyms further increased the content of the ontology. It also provided the means to bring in annotations made by these databases and link to their sites via automatic pipelines built at RGD. The ontology allows for the standardized annotation of rat as well as human and mouse genes to pathway terms. It also serves as a vehicle to connect between genes and ontology reports, between reports and interactive pathway diagrams, between pathways that directly connect to one another within a diagram or between pathways that in some fashion are globally related in pathway suites and suite networks. Metabolic, regulatory or signaling pathway terms have associated terms for the altered version of the pathway and the level at which the alteration(s) may occur. Proteins with mutations known to affect a particular pathway can be annotated to the normal and altered version(s) of the pathway and to a disease pathway, if known. Both the provision of terms for the altered versions of pathways and the representation of disease pathway diagrams as a collection of altered pathways are unique to the PW ontology and RGD's pathway data. The Pathway ontology is distributed under the terms of the Creative Commons Attribution license version 3.0 Unported (CC BY 3.0), see http://creativecommons.org/licenses/by/3.0 for details.
通路本体的目标是涵盖所有类型的生物学通路,包括改变的和疾病的通路,并在有向无环图(DAG)的层次结构中捕获它们之间的关系。 本体的五个节点是:经典代谢、调控、信号传导、药物和疾病通路。通过广泛的综述文献调查和现有通路数据库的搜索,来选择术语及其在树中的位置。 随着RGD 数据库中通路和疾病内容的发展,通路本体也在不断扩展。将其他数据库中的通路映射到通路本体中的术语作为同义词,进一步增加了本体的内容。 它还提供了引入这些数据库的注释的方法,并通过RGD建立的自动管道链接到它们的站点。 通路本体允许对通路术语进行大鼠以及人类和小鼠基因和通路的标准化注释。 它也作为一种工具,用于连接基因和本体报告,连接报告和交互通路图,连接图中直接相互连接的通路,或连接在通路套件和套件网络中以某种方式相互关联的通路。 代谢、调控或信号转导通路的术语都有相关的术语来描述该通路的改变版本以及可能发生改变的程度。 已知影响某一特定通路的突变蛋白,可以注释为该通路的正常版本和改变版本,如果已知,也可以注释为疾病通路。对于P通路本体和RGD的通路数据来说,为改变的通路版本提供术语和将疾病通路图表示为改变的通路集合都是独一无二的。 通路本体是根据创作共用许可证3.0 unported (CC BY 3.0)的条款发布的, 详情请参阅http://creativecommons.org/licenses/by/3.0。 |
Status | Production |
Format | OBO |
Contact | G. Thomas Hayman, gthayman@mcw.edu |
Categories | English |
Version | Released | Uploaded | Downloads |
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7.81 (Parsed, Indexed, Metrics, Annotator) | 08/28/2023 | 09/07/2023 | OBO | CSV | RDF/XML | Diff |
7.80 (Archived) | 07/31/2023 | 08/07/2023 | OBO | Diff |
7.79 (Archived) | 05/30/2023 | 06/07/2023 | OBO | Diff |
7.78 (Archived) | 04/24/2023 | 05/09/2023 | OBO | Diff |
7.77 (Archived) | 04/03/2023 | 04/07/2023 | OBO | Diff |
7.76 (Archived) | 03/27/2023 | 04/07/2023 | OBO |
7.75 (Archived) | 03/20/2023 | 04/07/2023 | OBO |
7.74 (Archived) | 03/13/2023 | 04/07/2023 | OBO |
7.73 (Archived) | 01/09/2023 | 02/07/2023 | OBO | Diff |
7.72 (Archived) | 12/19/2022 | 01/09/2023 | OBO | Diff |
7.71 (Archived) | 12/12/2022 | 01/09/2023 | OBO |
7.70 (Archived) | 12/05/2022 | 12/06/2022 | OBO | Diff |
7.69 (Archived) | 11/28/2022 | 12/06/2022 | OBO |
7.68 (Archived) | 11/21/2022 | 12/06/2022 | OBO |
7.67 (Archived) | 11/14/2022 | 12/06/2022 | OBO |
7.66 (Archived) | 11/07/2022 | 12/06/2022 | OBO |
7.65 (Archived) | 10/31/2022 | 11/07/2022 | OBO | Diff |
7.64 (Archived) | 10/03/2022 | 11/07/2022 | OBO |
7.63 (Archived) | 10/03/2022 | 10/08/2022 | OBO | Diff |
7.62 (Archived) | 09/19/2022 | 10/08/2022 | OBO |
7.61 (Archived) | 03/04/2021 | 04/15/2022 | OBO | Diff |
7.61 (Archived) | 03/04/2021 | 02/24/2021 | OBO | Diff |
7.50 (Archived) | 01/14/2019 | 02/25/2019 | OBO |
more... |
No views of PW available
Classes | 2,684 |
Individuals | 0 |
Properties | 1 |
Maximum depth | 9 |
Maximum number of children | 40 |
Average number of children | 2 |
Classes with a single child | 298 |
Classes with more than 25 children | 4 |
Classes with no definition | 220 |
We are still collecting data for this ontology.
No projects using PW