Bioinformatics and Biostatistics Core

生物信息学和生物统计学核心

• 批准号: 10635424
• 负责人: Li Shen
• 金额: $ 8.86万
• 依托单位: ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-03-17 至 2028-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10635424
• 关键词: Address; Animal Model; Bioinformatics; Biometry; Biostatistics Core; Cardiovascular Diseases; Cells; Clinical Research; Code; Communities; Computer software; Data; Data Analyses; Dedications; Experimental Designs; Image; Immune; Machine Learning; Molecular; Patients; Proteomics; Reproducibility; Research; Research Personnel; Services; Software Tools; Statistical Data Interpretation; Stress; Techniques; Technology; Testing; Tissues; Visualization; bioinformatics tool; data exploration; data harmonization; data mining; data sharing; epigenomics; experimental study; machine learning method; medical schools; multiple omics; open source; phenotypic data; preclinical study; programs; tool; transcriptomics

SUMMARY FOR CORE D The Bioinformatics and Biostatistics Core D will provide bioinformatic and biostatistical services and support data analyses for all Projects. Core D will be situated at the Icahn School of Medicine at Mount Sinai and led by Dr. Li Shen, who is an expert in bioinformatics and machine learning applications. One of the Core’s tasks is to support multi-omics and integrated analysis. The pre-clinical and clinical studies in Projects 1, 2, and 4 will leverage multi-omics technologies to profile systemic stress-related immune dysregulations at the cellular and molecular levels. The Core has dedicated bioinformaticians to aid PPG researchers in analyzing, visualizing, and mining data from transcriptomics, epigenomics, and proteomics experiments in various animal models (Projects 1 and 2) and patients (Projects 2 and 4). The Core will leverage state-of-the-arts bioinformatic tools and machine learning methods for robust, efficient and integrated analyses of the multi-omics and related phenotypic data. The Core will also provide comprehensive biostatistical support. Statistical issues will be addressed at all investigatory levels, from designing experiments to interpreting results and forming conclusions. Clear distinctions will be made between conclusions based on formal hypothesis testing and important leads discovered by data exploration. Lastly, the Core aims to reduce biases, enhance reproducibility, and share data and code with the scientific community. The Core will make every effort possible to reduce potential biases in the statistical analysis. Multiple testing correction will be performed on all omics data. The Core will also share the sequencing and secondary data derived from raw images to the public. Software tools developed by the Core will also be shared as open-source projects.

核心D摘要 生物信息学和生物统计学核心D将提供生物信息学和生物统计学服务和支持数据 对所有项目进行分析。核心D将设在西奈山伊坎医学院，由博士领导。 李申，生物信息学和机器学习应用专家。核心的任务之一是 支持多组学和综合分析。项目1、2和4中的临床前和临床研究 将利用多组学技术来描绘细胞中与系统性应激相关的免疫失调， 和分子水平。核心有专门的生物信息学家来帮助PPG研究人员分析， 可视化和挖掘来自转录组学、表观基因组学和蛋白质组学实验的数据， 动物模型（项目1和2）和患者（项目2和4）。核心将利用最先进的 生物信息学工具和机器学习方法，用于对 多组学和相关表型数据。核心还将提供全面的生物统计支持。 统计问题将在所有解释层面得到解决，从设计实验到解释 结果和形成结论。明确区分基于形式的结论 假设检验和通过数据探索发现的重要线索。最后，核心旨在减少 偏见，提高可重复性，并与科学界共享数据和代码。核心会让 尽一切努力减少统计分析中的潜在偏差。将进行多次测试校正 对所有的omics数据进行分析。核心还将分享来自原始数据的测序和二级数据， 图像向公众。核心开发的软件工具也将作为开源项目共享。