Computational Analysis Core

核心2 -项目摘要 计算分析核心（核心2）将通过引入必要的生物信息学来支持项目1和2 和计算方法，以承担每个项目所解决的问题。具体来说，我们将 应用已建立的计算管道进行质量控制，并提取最大信息（细胞 类型、状态、电路和驱动器），来自我们丰富的数据集。我们将帮助我们的CSBC团队识别细胞类型， 状态和回路在白血病和结肠和胰腺肿瘤模型的核心1从单- 在项目1和2中收集的细胞RNA-Seq数据，以及有趣行为的分子驱动因素。我们 将部署数值算法，以揭示表型测量的预测能力，单独或在 组合，通过我们的纳米阱（NW）和悬浮微通道谐振器（SMR）平台， 解释癌细胞的药物反应必要时，我们将确定和/或开发新的算法， 增强我们CSBC的定量和多元能力。最后，我们将与CSBC密切合作， 团队成员帮助进行实验设计，确保适当数量的细胞/样品 处理以检验感兴趣的假设，并执行适当的统计检验。通过提供 全面的分析（QC，功率，基因集富集）和建模能力，我们将 大大增强了我们从数据中获得重要见解的能力。这将导致新的 可以通过设计新的实验来验证的假设。

Core 2 – Project Summary The Computational Analysis Core (Core 2) will support Projects 1 & 2 by bringing necessary bioinformatics and computational methods to bear on the questions addressed by each project. More specifically, we will apply established computational pipelines to perform quality control on, and extract maximal information (cell types, states, circuits, and drivers) from, our rich data sets. We will help our CSBC team identify the cell types, states, and circuits active in the Leukemia and Colon and Pancreatic tumor models of Core 1 from the single- cell RNA-Seq data collected in Projects 1 & 2, as well as the molecular drivers of interesting behaviors. We will deploy numerical algorithms to uncover the predictive power of phenotypic measurements, alone or in combination, made via our Nanowell (NW) and Suspended Microchannel Resonator (SMR) platforms to explain cancer cell drug responses. When necessary, we will identify and/or develop new algorithms, enhancing our CSBC's quantitative and multivariate capabilities. Finally, we will work closely with our CSBC team members to help with experimental design, ensuring that an appropriate number of cells/samples are processed to test hypotheses of interest and that appropriate statistical testing is performed. By providing comprehensive analysis (QC, power, gene set enrichment) and modeling capabilities, we will dramatically enhance our ability to draw crucial insights from our data. This will lead to new hypotheses that can be tested by designing new experiments.