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

 描述（由申请方提供）：将在乔治华盛顿大学雾谷校区和华盛顿DC组织GlycoCentral计划研讨会，讨论在可比基因、蛋白质、脂质数据和后续信息传播的背景下整合和分析碳水化合物和糖缀合物结构、分析和相互作用数据的最佳和可持续方法。研讨会将重点概述糖信息学领域目前的所有努力，以及如何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。我们期望来自现有资源的聚糖和脂质数据可以整合到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与基因和蛋白质相关联。这将不仅允许映射到基因和蛋白质，还允许映射到途径、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，新型聚糖阵列和MS工具可以作为整合和随后分析聚糖相关数据的工具。还可以整合与癌症相关的其他数据，例如来自癌症基因组图谱（TCGA）、国际癌症基因组联盟（ICGC）、癌症体细胞突变目录（COSMIC）的突变、表达数据和来自临床蛋白质组肿瘤分析联盟（CPTAC）的蛋白质组学数据，以提供碳水化合物和糖缀合物数据的系统级分析机会。这种整合将提供前所未有的全面性，并允许在不同的数据类型中进行复杂的搜索。讲习班的其他目标/重点将包括数据注释/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。

 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.