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.

 DESCRIPTION (provided by applicable): 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 carbonhydrate and glycoconjugate structural, analytical and interaction data in the context of comparable gene, protein, lipid data and subsequent dissemination of the information.该研讨会将着重概述糖化信息领域的所有当前努力，以及欧洲生物信息学研究所的资源（例如Uniprot和Chebi）以及国家生物技术中心（例如PubChem和RefSeq）的资源如何在这方面利用。我们预计，来自现有资源的血糖和脂质数据可以集成到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链接到基因和蛋白质。这将不仅允许映射基因和蛋白质，还允许从EBI和NCBI数据仓库中的途径，基因本体，出版物以及各种数据。其他新型的聚糖阵列和MS工具可以用作集成和随后分析聚糖相关数据的工具。与癌症相关的其他数据，例如突变，癌症基因组图集（TCGA），国际癌症基因组联盟（ICGC），癌症中体细胞突变（宇宙）的目录以及临床蛋白质组学肿瘤分析联盟（CPTAC）的蛋白质组学数据数据相关的数据相关数据，也可以整合到碳氢化和glycocococococococonjjugjugjjugjjugjjjjugjjjugjjjjjugjjjjugjjjjjjjjjjjjugjjjjjjjjjjjjjjjjjugjjjjjjjjjjjugjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjj一下一下。这种集成将提供前所未有的综合性，并允许在潜水员数据类型上进行复杂的搜索。研讨会的其他目的/重点将包括数据，本体和标准，数据挖掘，数据共享，传播，不同数据类型的链接和外展的综述。