Biostatistics and Bioinformatics Core
生物统计学和生物信息学核心
基本信息
- 批准号:10327947
- 负责人:
- 金额:$ 15.39万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-08-15 至 2027-07-31
- 项目状态:未结题
- 来源:
- 关键词:BackBioinformaticsBiologicalBiologyBiometryCollaborationsComplexComputing MethodologiesCytomegalovirusDataDevelopmentEnsureEventFAIR principlesGenerationsGenomicsGoalsHematopoietic stem cellsHumanInfrastructureInterventionKnowledge ExtractionLife Cycle StagesMethodologyMethodsMicroRNAsModelingMolecularMolecular ProfilingPathologyPathway interactionsPhasePlayProtocols documentationRegulationReproducibilityResearch DesignResearch Project GrantsRoleSecureSecuritySignal PathwaySignal TransductionStandardizationSystemTechnologyTimeViralVirusVisualizationVisualization softwareWorkcandidate validationcatalystcost effectivedata managementdata standardsexperimental studyinsightmathematical modelmethod developmentmultiple omicsnoveloutreachphenotypic datapredictive modelingprogramsvirus virus interaction
项目摘要
SUMMARY - BIOSTATISTICS AND BIOINFORMATICS CORE (CORE B)
The Biostatistics and Bioinformatics Core (Core B) serves as the translational catalyst for the PPG by integrating
the diverse ‘omics’ data readouts to develop systems-level mathematical models to help advance the molecular
understanding of HCMV latency and reactivation. Core B works in close collaboration with the PPG research
projects and the other cores to provide pre-processing, analysis, modeling and computational support as well
as development of timely new methods through cutting-edge computational methods development; outreach
support; and assistance with dissemination. To achieve the full potential of the PPG center, it is essential that
data be accessible—in terms of both security (i.e., having secure, ready access) and interpretability (i.e., is high
quality, contextual and information rich). Core B serves as the data steward for the PPG. The goal of Core B is
to support all aspects of the data life cycle starting at data generation. The Core B team will build upon its
extensive data management, data standardization, biostatistical, multi-omics, and bioinformatics expertise to
ensure reproducible, transparent workflows and protocols that maximize knowledge extraction.
总结-生物统计学和生物信息学核心(核心B)
生物统计学和生物信息学核心(核心B)通过整合
不同的“组学”数据读出,以开发系统级数学模型,以帮助推进分子
了解HCMV潜伏期和再激活。核心B与PPG研究密切合作
项目和其他核心,以提供预处理、分析、建模和计算支持
作为通过尖端计算方法开发及时的新方法;推广
支持;以及协助传播。为了充分发挥PPG中心的潜力,
数据是可访问的-就安全性(即,具有安全的、容易访问的)和可解释性(即,高
质量、上下文和信息丰富)。核心B充当PPG的数据管理员。核心B的目标是
支持从数据生成开始的数据生命周期的各个方面。核心B团队将以其为基础
广泛的数据管理、数据标准化、生物统计学、多组学和生物信息学专业知识,
确保可重复、透明的工作流程和协议,最大限度地提高知识提取。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Shannon K. McWeeney其他文献
Characterize Biomarkers and Mechanisms of Resistance for MDM2 Inhibitors in AML
- DOI:
10.1182/blood-2022-157622 - 发表时间:
2022-11-15 - 期刊:
- 影响因子:
- 作者:
Lindsey Savoy;Daniel Bottomly;Reid Chen;Basil Allen;Jeffrey W. Tyner;Shannon K. McWeeney;Haijiao Zhang - 通讯作者:
Haijiao Zhang
Utilizing cohort-level and individual networks to predict best response in patients with metastatic triple negative breast cancer
利用队列水平和个体网络来预测转移性三阴性乳腺癌患者的最佳反应
- DOI:
10.1038/s41698-025-00959-w - 发表时间:
2025-06-13 - 期刊:
- 影响因子:8.000
- 作者:
Daniel Bottomly;Christina Zheng;Allison L. Creason;Zahi I. Mitri;Gordon B. Mills;Shannon K. McWeeney - 通讯作者:
Shannon K. McWeeney
The Aryl Hydrocarbon Receptor Defines a Unique Genomic and Immune Signature in AML Characterized By Monocytic Differentiation, Venetoclax Resistance and Is Targetable By Ahr Antagonist
- DOI:
10.1182/blood-2022-163166 - 发表时间:
2022-11-15 - 期刊:
- 影响因子:
- 作者:
Jennifer N. Saultz;Daniel Bottomly;Faith Burns;Kaelan Byrd;Yoko Kosaka;Shannon K. McWeeney;Stephen E. Kurtz;Guang Fan;Andy Kaempf;Karen McGovern;Lei Wang;Marta Sanchez-Martin;Dan S Kaufman;Evan F. Lind;Jeffrey W. Tyner - 通讯作者:
Jeffrey W. Tyner
Defining Clinical and Molecular Biomarkers for Venetoclax-Based Drug Combinations to Augment AML Therapy
定义基于维奈托克的药物组合以增强 AML 治疗的临床和分子生物标志物
- DOI:
10.1182/blood-2022-159264 - 发表时间:
2022-11-15 - 期刊:
- 影响因子:23.100
- 作者:
Christopher A. Eide;Stephen E. Kurtz;Andy Kaempf;Nicola Long;Sunil K Joshi;Tamilla Nechiporuk;Ariane Huang;Charles Dibb;Daniel Bottomly;Shannon K. McWeeney;Bill H. Chang;Brian J. Druker;Jeffrey W. Tyner - 通讯作者:
Jeffrey W. Tyner
Shannon K. McWeeney的其他文献
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{{ truncateString('Shannon K. McWeeney', 18)}}的其他基金
Genomics, Biostatistics and Bioinformatics Core
基因组学、生物统计学和生物信息学核心
- 批准号:
10216632 - 财政年份:2017
- 资助金额:
$ 15.39万 - 项目类别:
Genomics, Biostatistics and Bioinformatics Core
基因组学、生物统计学和生物信息学核心
- 批准号:
9980279 - 财政年份:2017
- 资助金额:
$ 15.39万 - 项目类别:
Illuminating molecular targetable pathways in HNSCC
阐明 HNSCC 的分子靶向途径
- 批准号:
9753710 - 财政年份:2015
- 资助金额:
$ 15.39万 - 项目类别:
ELECTRONIC DISSEMINATION OF HEMATOLOGIC CANCER SURVIVORSHIP MATERIALS WITH APPLIC
通过应用程序电子传播血液癌症幸存者材料
- 批准号:
7492671 - 财政年份:2007
- 资助金额:
$ 15.39万 - 项目类别:
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