Resource Core D - Bioinformatics and Statistical Analysis Core

资源核心 D - 生物信息学和统计分析核心

• 批准号: 10676795
• 负责人: Ernesto Guccione
• 金额: $ 21.64万
• 依托单位: ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-01 至 2026-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10676795
• 关键词: ATAC-seq; Acceleration; Address; Antisense Oligonucleotides; Bioinformatics; Biological; Biology; Biometry; ChIP-seq; Chromatin; Collaborations; Communication; Communities; Consultations; Data; Data Analyses; Data Reporting; Data Set; Databases; Development; Disease; Education; Educational workshop; Ensure; Evolution; Experimental Designs; Fees; Funding; Future; Genes; Genomics; Goals; Hi-C; Homeostasis; Human Resources; Image; Individual; Leadership; Methodology; Multiomic Data; Multiplexed Ion Beam Imaging; Output; Proteomics; RNA Splicing; Randomized; Reporting; Reproducibility; Research; Research Design; Research Methodology; Research Personnel; Research Project Grants; Resources; Sample Size; Scholarship; Services; Skin; Slide; Stains; Standardization; Statistical Data Interpretation; Statistical Models; Technology; Training; Training and Education; Visualization; Work; bioinformatics tool; biological systems; complex data; computerized tools; computing resources; cost; data integration; data management; data sharing; data tools; data visualization; design; diverse data; exome sequencing; experience; experimental study; improved; innovation; large datasets; meetings; novel; prevent; process repeatability; single-cell RNA sequencing; skin organogenesis; statistics; synergism; tool; transcriptomics; web-based tool; whole genome

SUMMARY – RESOURCE CORE D Recent advancements in the field of genomics, transcriptomics, proteomics and imaging have greatly enhanced our understanding of skin development, homeostasis and disease. Nonetheless access to state-of- the-art statistical and bioinformatic tools for the analysis and integration of these large datasets has a high barrier in terms of costs and expertise limiting reproducibility and innovation. The main objective of Core D, `Data Analysis and Integration' is to promote research in skin biology and disease by providing a central hub for statistical design, bioinformatic analysis and training across all projects. This will ensure a standardized and reproducible process to generate meaningful biological conclusions. Core D will provide a complete solution for experimental and statistical consultation, genomics, transcriptomics and immunohistochemical data analysis. It will provide data integration across all platforms and projects, data management, interpretation and reporting, through Skin-GLOW (Skin-Gene Level Omic Web Tool), a state-of-the-art uniformed and integrated database for data visualization and sharing. This interface will improve the reproducibility and validity of research findings and boost skin related discoveries. Core personnel will be embedded in skin research labs where they will become familiarized with skin as a biological system and the questions being asked; this will help ensure that they can most effectively advise lab personnel appropriate analyses of their data; conversely lab personnel will become more familiar with analysis tools. Core D leadership collectively have >30 years of experience in biostatistics and chromatin biology bioinformatic support. This strong team will work closely together to provide first-rate core service to SBDRC researchers. Core D will provide the following services to core users: (1) Coordinated and comprehensive management of computational resources and biostatistics and bioinformatics training at reduced cost to SBDRC users; (2) Statistical design and analysis services; (3) Standardized, state- of-the art bioinformatics expertise for genomics and transcriptomics-based approaches; (4) Standardized, state-of-the art bioinformatics expertise for spatial approaches, and (5) Develop pipelines and innovative tools for data integration across all platforms (i.e. Skin-GLOW). The core is highly innovative through its cutting-edge integrated bioinformatics analysis (e.g. spatial transcriptomics, sc-ATAC-seq and Iso-seq), which will enable SBDRC researchers to fully explore complex datasets, formulate novel hypotheses, as well as access to unique tools (i.e. Splice Switching Antisense Oligos -ASOs) for mechanistic studies and potential future therapies for skin related diseases. Significance: Collectively, Core D is constituted to provide state-of-the-art statistical and bioinformatics expertise, collaboration and training to all SBDRC investigators, while integrating multi-omic data in an interactive web-tool, to advance research in skin biology and disease. This in turn will facilitate discussion between investigators to increase the relevance, value and impact of their studies, and the development of additional bioinformatics tools tailored to the specific needs of the skin community.

摘要 - 资源核心D 基因组学，转录组学，蛋白质组学和成像领域的最新进展极大 增进了我们对皮肤发育，稳态和疾病的理解。尽管如此 用于分析和集成这些大数据集的ART统计和生物信息学工具具有很高的 在限制可重复性和创新的成本和专业知识方面的障碍。核心D的主要目标， “数据分析和整合”是通过提供中心枢纽来促进皮肤生物学和疾病的研究 用于统计设计，所有项目的生物信息分析和培训。这将确保标准化和 可再现的过程，以产生有意义的生物学结论。核心D将为 实验和统计咨询，基因组学，转录组学和免疫组织化学数据分析。它 将在所有平台和项目中提供数据集成，数据管理，解释和报告， 通过皮肤丝（Skin-Gene Level Omic Web工具），这是一个最先进的均匀和集成的数据库 用于数据可视化和共享。该界面将改善研究结果的繁殖和有效性 并增强与皮肤相关的发现。核心人员将嵌入皮肤研究实验室中 熟悉皮肤作为生物系统以及提出的问题；这将有助于确保 他们可以最有效地建议实验室人员对数据的适当分析；相反的实验室人员将 更熟悉分析工具。核心D领导统称有30年的经验 生物统计学和染色质生物学支持。这个坚强的团队将紧密合作以提供 SBDRC研究人员的一流核心服务。核心D将为核心用户提供以下服务：（1） 计算资源和生物统计学和生物信息学的协调和全面管理 SBDRC用户的成本降低培训； （2）统计设计和分析服务； （3）标准化，国家 - 基于基因组学和基于转录组学的方法的艺术生物信息学专业知识； （4）标准化， 最先进的空间方法生物信息学专业知识，（5）开发管道和创新工具 用于所有平台的数据集成（即皮肤细胞）。核心通过其前沿具有很高的创新性 综合生物信息学分析（例如，空间转录组学，SC-ATAC-SEQ和ISO-SEQ），将启用 SBDRC的研究人员充分探索复杂的数据集，提出新的假设，并访问 独特的工具（即用于机械研究和潜在未来的反义寡素 - asos的剪接切换反义寡寡寡做） 皮肤相关疾病的疗法。意义：总体而言，核心D构成为最先进的 统计和生物信息学专业知识，为所有SBDRC调查人员进行协作和培训，同时集成 交互式网络工具中的多族数据，以提高皮肤生物学和疾病的研究。反过来将 促进研究人员之间的讨论，以增加其研究的相关性，价值和影响 开发根据皮肤社区的特定需求量身定制的其他生物信息学工具。