grant

Core C- Data Analysis Core

Organization UNIVERSITY OF MICHIGAN AT ANN ARBORLocation ANN ARBOR, UNITED STATESPosted 16 Sept 2022Deadline 31 Aug 2027
NIHUS FederalResearch GrantFY2025ArchivesAreaAssayBioassayBioinformaticsBiological AssayBiometricsBiometryBiostatisticsCancer BiologyCancer cell lineCancersCase Report FormClinical DataClinical ResearchClinical StudyClinical TrialsClinical Trials DesignClinical Trials NetworkCohort StudiesCollaborationsCollectionCommunicationConcurrent StudiesDNA DamageDNA InjuryDataData AnalysesData AnalysisData BasesData CollectionData SetData SourcesDatabasesDedicationsDependenceDevelopmentDiagnosisEncyclopediasEnsureEpidemiologic ResearchEpidemiologic StudiesEpidemiological StudiesEpidemiologyEpidemiology ResearchExperimental DesignsExperimental TherapiesGenerationsGeneticGenomicsHuman ResourcesInformation DisseminationInfrastructureInstitutionInvestigational TherapiesInvestigational TreatmentsInvestigatorsKnowledgeLi-Fraumeni Familiar Cancer Susceptibility SyndromeLi-Fraumeni SyndromeLinkLocationMalignant NeoplasmsMalignant TumorManpowerManuscriptsMapsMethodological StudiesMethodologyMichiganMolecularNaturePatientsPoliciesPopulation DatabaseProspective cohortQuality ControlRNA SeqRNA sequencingRNAseqRegistriesReproducibilityResearchResearch ActivityResearch DesignResearch PersonnelResearch ResourcesResearchersResourcesSamplingSourceStudy TypeTimeUniversitiesUtahWorkadverse event monitoringcareer developmentcomputational platformcomputing platformdata accessdata analysis coredata analysis research coredata analytics coredata analytics research coredata basedata interpretationdata managementdata miningdata qualitydata standardizationdata standardsdataminingdevelopmentaldissemination of resultsdrug sensitivityepidemiologicepidemiologic investigationepidemiologicalepidemiology studyexperienceexperimentexperimental researchexperimental studyexperimental therapeutic agentsexperimental therapeuticsexperimentsgenomic datagenomic datasethealth dataimprovedleiomyosarcomamalignancymembermultidisciplinaryneoplasm/cancernew approachesnovel approachesnovel strategiesnovel strategypersonnelprogramspublic repositorypublicly accessible repositorypublicly available repositoryradiomicsresearch studyresponsesample collectionscRNA sequencingscRNA-seqsingle cell RNA-seqsingle cell RNAseqsingle cell expression profilingsingle cell transcriptomic profilingsingle-cell RNA sequencingspecimen collectionstudy designtranscriptome sequencingtranscriptomic sequencingtranslational studytrial design
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Full Description

Core C – Data Analysis Core - Summary/Abstract:
The objective of the Data Analysis Core (DAC) is to provide a comprehensive, multidisciplinary resource for

the research associated with the SPORE. The needs of these projects require a wide breath of biostatistics and

bioinformatics analytical knowledge as well as computational expertise. The DAC will provide biostatistical and

bioinformatic collaboration in support of the discovery, translational, and clinical studies associated with the

SPORE research activities. The comprehensive nature of this core assures each SPORE investigator access to

expertise that includes collaborative development of study designs, collection and management of data,

generation of analysis plans, support for clinical trials, analysis of data, interpretation of data, development of

computational platforms for data mining, and dissemination of results (e.g., abstracts, presentations,

manuscripts). Furthermore, the DAC will facilitate knowledge-sharing among the projects and cores by identifying

and communicating best practices, standardizing data when possible, centralizing data for use across the

projects, and conveying results to SPORE investigators in a timely fashion. Finally, the core is poised to develop

new methodology when needed to support the SPORE research as well as to adapt to changes in research

strategy in response to new or unexpected findings. In summary, to support all proposed SPORE projects, the

Career Development and Developmental Research Programs, the other cores, and related SPORE research,

the DAC will (1) provide biostatistics and bioinformatics collaboration for all SPORE research activities, (2)

facilitate data collection, management, integration, and storage for SPORE research activities, and (3) develop

and implement methodology that enhances the research across the SPORE projects.

The members of DAC will work closely with team members of each of the projects. In addition, they will

collaborate closely with bioinformatics personnel within the research teams of the project PIs to ensure alignment

of the statistical aspects with the bioinformatics efforts and allow the integration of bioinformatics data across

projects. The members of DAC will engage in regular communication with SPORE projects, other Cores, SPORE

PIs.

Grant Number: 5P50CA272170-04
NIH Institute/Center: NIH

Principal Investigator: Veerabhadran Baladandayuthapani

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