Information Engineering

信息工程

• 批准号: 8120227
• 负责人: ALEX E LASH
• 金额: $ 17.86万
• 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/8120227
• 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; 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