GlycoCentral: Glycobiology data and tool integration with genes, proteins and lipids

GlycoCentral：糖生物学数据和工具与基因、蛋白质和脂质的集成

• 批准号: 8985378
• 负责人: Raja Mazumder
• 金额: $ 25.33万
• 依托单位: GEORGE WASHINGTON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-01 至 2017-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8985378
• 关键词: Bioinformatics; Biotechnology; Budgets; Carbohydrates; Cataloging; Catalogs; Clinical Data; Communities; Complex; Data; Data Analyses; Data Element; Databases; Development; District of Columbia; Educational workshop; European; Funding; Future; Gene Proteins; Genes; Genomics; Glycobiology; Glycoconjugates; Growth; Information Dissemination; Information Resources; Institutes; International; Knowledge Discovery; Link; Lipids; Mainstreaming; Malignant Neoplasms; Maps; Molecular Biology; Mutation; Ontology; Output; Participant; Pathway interactions; Polysaccharides; Proteomics; PubChem; Publications; Recipe; Recommendation; Research; Research Personnel; Resources; Role; Scientist; Somatic Mutation; System; The Cancer Genome Atlas; United States National Institutes of Health; Universities; Washington; base; cancer genome; cancer proteomics; data mining; data sharing; design; novel; outreach; programs; public health relevance; tool; tumor

 DESCRIPTION (provided by applicant): A GlycoCentral planning workshop will be organized at George Washington University, Foggy Bottom Campus, and Washington DC to discuss optimal and sustainable ways for integration and analysis of carbohydrate and glycoconjugate structural, analytical and interaction data in the context of comparable gene, protein, lipid data and subsequent dissemination of the information. The workshop will focus on outlining all current efforts in the glycoinformatics field and how resources at European Bioinformatics Institute such as UniProt and ChEBI and also resources at National Center for Biotechnology Information such as PubChem and RefSeq can be leveraged in this regard. We expect that glycan and lipid data from existing resources can be integrated into NCBI and EBI data elements such as those available through PubChem, ChEBI and PRIDE, and linked to genes and proteins via UniProt and RefSeq. This will allow not just mapping to genes and proteins but also pathways, gene ontology, publications and a wide variety of data from EBI and NCBI data warehouse. Additionally, novel glycan array and MS tools can serve as vehicles for integration and subsequently analysis of glycan--associated data. Additional data associated with cancer such as mutation, expression data from The Cancer Genome Atlas (TCGA), International Cancer Genome Consortium (ICGC), Catalogue of Somatic Mutations in Cancer (COSMIC) and proteomics data from Clinical Proteomic Tumor Analysis Consortium (CPTAC) can also be integrated to provide systems level analysis opportunities of carbohydrate and glycoconjugate data. Such integration will provide unprecedented comprehensiveness and allow complex searches across diverse data types. Additional aims/focus of the workshop will include annotation/review of data, ontology and standards, data mining, data sharing, dissemination, linking of the different data types and outreach.

 描述(由申请人提供)：GlycoCentral计划研讨会将在乔治华盛顿大学、Foggy Bottom校园和华盛顿特区组织，讨论在可比基因、蛋白质、脂肪数据和随后的信息传播的背景下，整合和分析碳水化合物和糖共轭结构、分析和相互作用数据的最佳和可持续的方法。讲习班将着重概述糖类信息学领域目前的所有努力，以及如何在这方面利用欧洲生物信息学研究所的资源，如UniProt和Chebi，以及国家生物技术信息中心的资源，如PubChem和RefSeq。我们希望现有资源中的多糖和脂肪数据可以整合到NCBI和EBI数据元素中，例如通过PubChem、Chebi和Pride获得的数据元素，并通过UniProt和RefSeq连接到基因和蛋白质。这不仅可以映射到基因和蛋白质，还可以映射到路径、基因本体、出版物以及来自EBI和NCBI数据仓库的各种数据。此外，新的糖链阵列和MS工具可以作为整合和随后分析与糖链相关的数据的工具。其他与癌症相关的数据，如突变、来自癌症基因组图谱(TCGA)、国际癌症基因组联盟(ICGC)的表达数据、癌症体细胞突变目录(COSMIC)和来自临床蛋白质肿瘤分析联盟(CPTAC)的蛋白质组学数据也可以被整合，以提供碳水化合物和糖共轭数据的系统水平分析机会。这种集成将提供前所未有的全面性，并允许跨不同数据类型进行复杂搜索。讲习班的其他目标/重点将包括数据的注释/审查、本体论和标准、数据挖掘、数据共享、传播、不同数据类型的联系和外联。