Information Engineering

信息工程

• 批准号: 7893056
• 负责人: ALEX E LASH
• 金额: $ 17.51万
• 依托单位: SLOAN-KETTERING INST CAN RESEARCH
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/7893056
• 关键词: Animal Model; BRAF gene; Bioinformatics; Biological Assay; Categories; Clinical; Collaborations; Collection; Communities; Consultations; Core Facility; Data; Data Analyses; Databases; Deposition; Development; Engineering; Epidermal Growth Factor Receptor; Family; Family member; Gene Expression; Gene Expression Profile; Generations; Genes; Guanosine Triphosphate Phosphohydrolases; High Performance Computing; Human; Human Resources; Individual; KRAS2 gene; Lung Adenocarcinoma; MEKs; Malignant Neoplasms; Maps; Molecular Profiling; Mus; Mutation; Mutation Analysis; Online Systems; Pathology; Pathway interactions; Pattern; Positioning Attribute; Protein Family; Protein Tyrosine Kinase; Protein-Serine-Threonine Kinases; Proteomics; Proto-Oncogene Proteins c-akt; Publications; Publishing; Research Infrastructure; Research Personnel; Research Project Grants; Resources; Retrieval; Sampling; Services; Signal Pathway; Signal Transduction; Somatic Mutation; Source; Techniques; Tertiary Protein Structure; Testing; Therapeutic Agents; anticancer research; computerized tools; computing resources; data management; data sharing; mouse model; neoplastic; programs; resistance mutation; tool; transcriptomics

The Information Engineering Core B will develop a bioinformatics infrastructure to enable collaboration and data sharing among research projects and the wider cancer research community. The Information Engineering Core B will develop databases and analysis tools to facilitate the generation of testable hypotheses. This infrastructure includes: (1) a databaseto store annotated gene expression signatures, patterns and sets, and a set intercomparison tools suite, and (2) a somatic mutation database and functional analysis tool that integrates existing mutation data amongst protein family members. This infrastructure will allow P01 investigators to better utilize published gene expression signatures and somatic mutation data, as well as to collaborate and share data. It will permit them to intercompare their gene signatures and compare them to published and functionally-associatedgene signatures, patterns, and sets. Further, it will allow them to associate specific mutations to unique gene expression and proteomic signatures across a spectrum of protein families and functional domains. A broad range of bioinformatics, computational, mathematical, and statistical techniques will be applied to create this infrastructure. This core will provide bioinformatics and data management resources to individual research projects and the Molecular Profiling & Pathology and Administration & Analysis cores.

信息工程核心 B 将开发生物信息学基础设施，以实现协作和 研究项目和更广泛的癌症研究界之间的数据共享。信息 工程核心 B 将开发数据库和分析工具，以促进可测试的生成 假设。该基础设施包括：(1) 一个数据库，用于存储带注释的基因表达签名， 模式和集合，以及集合相互比较工具套件，以及（2）体细胞突变数据库和功能 整合蛋白质家族成员之间现有突变数据的分析工具。该基础设施将 允许 P01 研究人员更好地利用已发表的基因表达特征和体细胞突变数据，如 以及协作和共享数据。它将允许他们相互比较他们的基因特征并比较 它们与已发布的和功能相关的基因签名、模式和集合相关。此外，它将允许 他们将特定突变与独特的基因表达和蛋白质组特征联系起来 蛋白质家族和功能域的范围。广泛的生物信息学、计算、 将应用数学和统计技术来创建这一基础设施。该核心将提供 个人研究项目和分子分析与分析的生物信息学和数据管理资源 病理学和管理与分析核心。