Bioinformatics Core
生物信息学核心
基本信息
- 批准号:9324250
- 负责人:
- 金额:$ 28.82万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:
- 资助国家:美国
- 起止时间:至
- 项目状态:未结题
- 来源:
- 关键词:Admission activityAlgorithmsApplications GrantsAreaAryl Hydrocarbon ReceptorAwardBackBehaviorBinding ProteinsBioconductorBioinformaticsBiological ProcessBiomedical ComputingBiomedical ResearchBlood - brain barrier anatomyBreast Cancer CellCHD1 geneCanis familiarisCardiovascular DiseasesCarrier ProteinsCategoriesCellular biologyCertificationChIP-seqChargeClassificationCollaborationsCommunicable DiseasesComputational ScienceComputer SimulationComputersConflict (Psychology)DNADataData AnalysesData SetDatabasesDetectionDiseaseDoctor of PhilosophyEducational process of instructingEducational workshopElementsEmergency responseEngineeringEnvironmentExerciseExperimental DesignsFundingGCG geneGene ExpressionGene Expression RegulationGenerationsGenesGeneticGenetic ProgrammingGenomeGenomic DNAGenomicsGoalsHomology ModelingHumanHuman MicrobiomeIndividualInformation TechnologyInheritedInstitutesInstructionInternetInternshipsIvermectinJournalsLearningLinkLiteratureMalignant NeoplasmsMass Spectrum AnalysisMathematicsMeasuresMethodsMichiganMicroarray AnalysisModelingMolecular GeneticsMulti-Drug ResistanceMusMutagenesisMutationOnline Mendelian Inheritance In ManOntologyOrganismOutcomeP-GlycoproteinPaperParticipantPathway AnalysisPathway interactionsPatientsPhasePilot ProjectsPoint MutationPopulation ResearchPost-Translational Protein ProcessingProblem SetsProcessPropertyProtein DatabasesProtein FamilyProteinsProteomeProteomicsPublicationsQuality ControlRNAResearchResearch PersonnelResearch Project GrantsResearch ProposalsResourcesScanningScienceScientistServicesSjogren&aposs SyndromeSoftware ToolsStructureStudentsSystemTechniquesTechnologyTimeTrainingTravelUniversitiesVirginiaWest VirginiaWorkbasecareercertificate programcollegecomputer sciencecomputerized toolscostcyber infrastructuredatabase structuredesigndifferential expressionexome sequencingexperienceexperimental analysisexperimental studyfallsgene productgenome sequencinggraduate studenthelicaseinstructorinterestknowledge baselecturesmarkov modelmathematical modelmedical schoolsmeetingsmembermicrobiomemultidisciplinaryneurotoxicitynext generation sequencingpathogenpathway toolsprogramsprotein structurestatisticsstudent trainingsummer programsymposiumthree dimensional structuretooltranscriptome sequencingtumor growthundergraduate studentuniversity studentvectorweb pageweb-based toolwhole genome
项目摘要
The Bioinformatics Core (BC) works with the WV-INBRE Genomics Core (GC) at Marshall University (MU) and West Virginia University (WVU) GC to deliver integrated analysis of Next Generation Sequencing (NGS) and microarray data sets. NGS and microarray data analysis are and will be provided to network investigators as a full service from planning and experimental design, through DNA/RNA Quality Control (QC), wet lab experimentation with Quality Analysis (QA), data analysis and interpretation, to delivery of results, and discussion of their significance and additional methods of analysis. Under our service model, investigators must meet with BC and GC staff to discuss experimental design, methods of analysis, expected outcomes and costs prior to the initiation of any experimentation (full description of service plan is provided under section 11(3)). A separate description of the GC as an optional Core is provided as part of this application. Members of the BC and the GC work together on most of these services.
生物信息学核心 (BC) 与马歇尔大学 (MU) 和西弗吉尼亚大学 (WVU) GC 的 WV-INBRE 基因组学核心 (GC) 合作,提供下一代测序 (NGS) 和微阵列数据集的集成分析。 NGS 和微阵列数据分析将作为一项全方位服务提供给网络研究人员,从规划和实验设计,到 DNA/RNA 质量控制 (QC)、质量分析 (QA) 湿实验室实验、数据分析和解释,到结果交付、讨论其意义和其他分析方法。根据我们的服务模式,研究人员必须在开始任何实验之前与 BC 和 GC 工作人员会面,讨论实验设计、分析方法、预期结果和成本(第 11(3) 节提供了服务计划的完整描述)。作为可选核心的 GC 的单独描述作为本申请的一部分提供。 BC 和 GC 的成员在大多数此类服务上进行合作。
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)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
MARY E DAVIS其他文献
MARY E DAVIS的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('MARY E DAVIS', 18)}}的其他基金
相似海外基金
DMS-EPSRC: Asymptotic Analysis of Online Training Algorithms in Machine Learning: Recurrent, Graphical, and Deep Neural Networks
DMS-EPSRC:机器学习中在线训练算法的渐近分析:循环、图形和深度神经网络
- 批准号:
EP/Y029089/1 - 财政年份:2024
- 资助金额:
$ 28.82万 - 项目类别:
Research Grant
CAREER: Blessing of Nonconvexity in Machine Learning - Landscape Analysis and Efficient Algorithms
职业:机器学习中非凸性的祝福 - 景观分析和高效算法
- 批准号:
2337776 - 财政年份:2024
- 资助金额:
$ 28.82万 - 项目类别:
Continuing Grant
CAREER: From Dynamic Algorithms to Fast Optimization and Back
职业:从动态算法到快速优化并返回
- 批准号:
2338816 - 财政年份:2024
- 资助金额:
$ 28.82万 - 项目类别:
Continuing Grant
CAREER: Structured Minimax Optimization: Theory, Algorithms, and Applications in Robust Learning
职业:结构化极小极大优化:稳健学习中的理论、算法和应用
- 批准号:
2338846 - 财政年份:2024
- 资助金额:
$ 28.82万 - 项目类别:
Continuing Grant
CRII: SaTC: Reliable Hardware Architectures Against Side-Channel Attacks for Post-Quantum Cryptographic Algorithms
CRII:SaTC:针对后量子密码算法的侧通道攻击的可靠硬件架构
- 批准号:
2348261 - 财政年份:2024
- 资助金额:
$ 28.82万 - 项目类别:
Standard Grant
CRII: AF: The Impact of Knowledge on the Performance of Distributed Algorithms
CRII:AF:知识对分布式算法性能的影响
- 批准号:
2348346 - 财政年份:2024
- 资助金额:
$ 28.82万 - 项目类别:
Standard Grant
CRII: CSR: From Bloom Filters to Noise Reduction Streaming Algorithms
CRII:CSR:从布隆过滤器到降噪流算法
- 批准号:
2348457 - 财政年份:2024
- 资助金额:
$ 28.82万 - 项目类别:
Standard Grant
EAGER: Search-Accelerated Markov Chain Monte Carlo Algorithms for Bayesian Neural Networks and Trillion-Dimensional Problems
EAGER:贝叶斯神经网络和万亿维问题的搜索加速马尔可夫链蒙特卡罗算法
- 批准号:
2404989 - 财政年份:2024
- 资助金额:
$ 28.82万 - 项目类别:
Standard Grant
CAREER: Efficient Algorithms for Modern Computer Architecture
职业:现代计算机架构的高效算法
- 批准号:
2339310 - 财政年份:2024
- 资助金额:
$ 28.82万 - 项目类别:
Continuing Grant
CAREER: Improving Real-world Performance of AI Biosignal Algorithms
职业:提高人工智能生物信号算法的实际性能
- 批准号:
2339669 - 财政年份:2024
- 资助金额:
$ 28.82万 - 项目类别:
Continuing Grant














{{item.name}}会员




