Pathway Commons: A Public Library of Biological Pathways

Pathway Commons：生物途径公共图书馆

基本信息

批准号：
8243036
负责人：
CHRIS SANDER
金额：
$ 100万
依托单位：
SLOAN-KETTERING INST CAN RESEARCH
依托单位国家：
美国
项目类别：
财政年份：
2012
资助国家：
美国
起止时间：
2012-09-22 至 2015-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8243036
关键词：
Animal Model Automobile Driving Behavior Bioinformatics Biological Biological Process Biology Cells Collaborations Communication Communities Computer software Computers Data Data Set Databases Development Evolution Explosion Genome Genomics Health Human Genome Information Services Internet Knowledge Language Libraries Link Maps Modeling Molecular Ontology Pathway Analysis Pathway interactions Phase Policies Process Provider Reading Research Research Infrastructure Research Personnel Resources Services Source Speed Staging Standardization Technology Time Training Training Support Translating Vision Work Writing analog biological systems computerized tools cost data exchange design flexibility functional genomics genome sequencing improved indexing information organization innovation news next generation open source predictive modeling research study tool usability web services

项目摘要

DESCRIPTION (provided by applicant): Biological pathways represent knowledge about molecules, processes and their interactions. Maps of such pathways are used to design and analyze experiments, and for predicting the behavior of biological systems. Pathway information is extremely difficult for biologists to use in its current fragmented and incomplete state, involving a large amount of time and effort to wade through, piece together and analyze. The Pathway Commons research resource is being developed to overcome this roadblock by providing researchers with a convenient single point of access to diverse biological pathway information translated to a common data language. This project is an important step towards the development of a complete and integrated computable map of the cell across all species and developmental stages. Pathway Commons promotes and supports convergence, by the community, to a truly integrated computable and searchable representation of cellular biological processes. Pathway Commons does not compete with or duplicate efforts of pathway databases or softward tool providers. Existing database groups provide pathway curation, while Pathway Commons provides mechanims and technology for adding value, disseminating, and reducing duplication of effort. Collaboration with user and database groups is a central component, driven by the desire for maximum synergy and efficiency. The Pathway Commons resource will aggregate datasets from multiple major pathway databases; translate, store, validate, index, integrate, hyperlink and maintain the information for maximum quality access; freely deliver pathway information to the scientific public, both academic and commercial, using advanced internet technology; and, provide open-source end user software for pathway browsing and analysis. User support and training for Pathway Commons and related resources will be freely available to the scientific community. PUBLIC HEALTH RELEVANCE: The completion of the human genome sequence and advances in molecular technologies has led to an explosion of biological data, which is driving biology towards increased use of computational tools. Pathway Commons is making biological knowledge available for computational processing, and is helping create predictive models of biological processes. These models will revolutionize biology and health research.

描述（由申请人提供）：生物途径代表有关分子、过程及其相互作用的知识。此类路径图用于设计和分析实验，以及预测生物系统的行为。对于生物学家来说，在目前支离破碎、不完整的状态下，通路信息的使用极其困难，需要花费大量的时间和精力来费力地浏览、拼凑和分析。 Pathway Commons 研究资源的开发旨在克服这一障碍，为研究人员提供便捷的单点访问方式，访问翻译为通用数据语言的多种生物途径信息。该项目是朝着开发跨所有物种和发育阶段的完整且集成的可计算细胞图谱迈出的重要一步。 Pathway Commons 促进并支持社区融合为细胞生物过程的真正集成的可计算和可搜索的表示。 Pathway Commons 不与路径数据库或软件工具提供商竞争或重复它们的工作。现有的数据库组提供路径管理，而 Pathway Commons 提供增加价值、传播和减少重复工作的机制和技术。与用户和数据库组的协作是一个核心组成部分，其驱动力是对最大协同作用和效率的渴望。 Pathway Commons 资源将聚合来自多个主要途径数据库的数据集；翻译、存储、验证、索引、集成、超链接和维护信息，以实现最高质量的访问；使用先进的互联网技术向学术界和商业界的科学公众免费提供途径信息；并且，提供用于路径浏览和分析的开源最终用户软件。 Pathway Commons 和相关资源的用户支持和培训将免费向科学界提供。公共健康相关性：人类基因组序列的完成和分子技术的进步导致了生物数据的爆炸式增长，这正在推动生物学越来越多地使用计算工具。 Pathway Commons 正在使生物知识可用于计算处理，并帮助创建生物过程的预测模型。这些模型将彻底改变生物学和健康研究。