CF Bioinformatics and Biostatistics Core
CF 生物信息学和生物统计学核心
基本信息
- 批准号:10241582
- 负责人:
- 金额:$ 25.11万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-07-01 至 2025-06-30
- 项目状态:未结题
- 来源:
- 关键词:Applications GrantsAreaBig DataBioinformaticsBiologicalBiologyBiomedical ResearchBiometryBiostatistics CoreChildhoodCollaborationsCommunicationCommunitiesComplexComputer softwareCore FacilityCystic FibrosisDataData AnalysesData ScienceData ScientistData SetData StoreDatabasesDepositionDevelopmentEducationEducational workshopEnsureExperimental DesignsFAIR principlesFacultyFoundationsFundingGenomicsGoalsHealthHourHuman ResourcesInformaticsInstitutionInstructionLanguageLeadLearningLife Cycle StagesManuscriptsMetagenomicsMiningMissionModelingParticipantPositioning AttributePreparationProductivityProgramming LanguagesProteomicsPublished CommentRandomizedRecording of previous eventsReportingReproducibilityReproducibility of ResultsResearchResearch DesignResearch PersonnelSample SizeScientistServicesSourceSpecialistStatistical ComputingStudentsSystemTechniquesTextTissuesTrainingVisionWorkWritingbasebiomedical data sciencecystic fibrosis patientscystic fibrosis related diabetesdata interoperabilitydata repositorydata sharingdata submissiondesignexperienceexperimental studyfollow-upgut dysbiosisgut microbiomehigh dimensionalityhigh throughput analysishost-microbe interactionsimprovedinformatics toolinnovationinstructorinterestlarge datasetslecturesmeetingsmetabolomicsmicrobiomeopen dataoutreachpatient registrypedagogypeerprogramsranpirnaseresponsesingle cell analysissingle-cell RNA sequencingskillssoftware systemstooltraining opportunitytranscriptome sequencingtranscriptomics
项目摘要
The overarching goal of this application is to continue to develop the Dartmouth Cystic Fibrosis Research
Center (DartCF), building on our strong history of CF-related research and expanding our capability to
investigate host-microbe interactions in the gut, and their impact on gut dysbiosis and overall systemic health
of patients with CF-related diabetes. The primary objective of the Cystic Fibrosis Bioinformatics and
Biostatistics Core (CF-BBC) is to provide expert-level bioinformatics and biostatistical support and training.
State-of-the-art bioinformatics and biostatistics have become essential in biomedical research in general, and
CF research in particular, because of increasingly complex experimental designs and the large data sets that
arise from genomic, transcriptomic, proteomic and related high-dimension techniques. We have found that CF
researchers trained in bioinformatics and biostatistics are better positioned to analyze their own data than staff
at generic data analysis Core facilities, and that CF researchers share what they’ve learned with others in their
field. Therefore, investing in bioinformatics and biostatistics training is an effective and efficient response to
rapidly increasing amounts of CF related scientific data. We have successfully trained four CF scientists who
are now participating as instructors in our educational programs, and dozens more who report that they are
sharing their training in bioinformatics and biostatistics with CF researchers on an informal basis. Importantly,
we host two intensive courses to provide training in the technical and statistical foundations of applied
bioinformatics, and our instructional system includes weekly meetings (R Club) and seminars at which students
and faculty present their experience using statistical, graphical, and informatics tools. These weekly meetings
are designed in part by participants from the CF research community, keeping our educational agenda in sync
with evolving research needs. Our model of providing bioinformatics support is also innovative because CF-
BBC bioinformatics and biostatistics specialists are trained CF researchers. This greatly improves
communication and makes the Core more valuable in areas like experimental design, understanding biological
meaning of results, suggesting follow up experiments, writing manuscripts and dealing with reviewer
comments. Finally, the CF-BBC is innovative in its commitment to Open Science. Our Core helps the DartCF
community format and annotate data, and deposit it in appropriate databases, making our data more findable,
accessible, interoperable and reusable (FAIR) by others. We also help DartCF researchers find, download and
reanalyze public data sets relevant to their research, allowing them to generate new hypotheses and ensure
that preliminary findings are reproducible. In summary, the mission of the CF-BBC is to provide expert-level
bioinformatics and biostatistical support and training to DartCF faculty and trainees, and our partnering
institutions, and to support and enhance Open Science.
这项申请的首要目标是继续发展达特茅斯囊性纤维化研究
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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Bruce A. Stanton其他文献
New insights into cystic fibrosis: molecular switches that regulate CFTR
囊性纤维化的新见解:调节 CFTR 的分子开关
- DOI:
10.1038/nrm1949 - 发表时间:
2006-06-01 - 期刊:
- 影响因子:90.200
- 作者:
William B. Guggino;Bruce A. Stanton - 通讯作者:
Bruce A. Stanton
Characterization of apical and basolateral membrane conductances of rat inner medullary collecting duct.
大鼠内髓集合管顶膜和基底外侧膜电导的表征。
- DOI:
- 发表时间:
1989 - 期刊:
- 影响因子:0
- 作者:
Bruce A. Stanton - 通讯作者:
Bruce A. Stanton
Lung-kidney axis in cystic fibrosis: Early urinary markers of kidney injury correlate with neutrophil activation and worse lung function
囊性纤维化中的肺-肾轴:肾脏损伤的早期尿液标志物与中性粒细胞活化和更差的肺功能相关
- DOI:
10.1016/j.jcf.2024.12.007 - 发表时间:
2025-05-01 - 期刊:
- 影响因子:6.000
- 作者:
Grace M. Rosner;Himanshu B. Goswami;Katherine Sessions;Lindsay K. Mendyka;Brenna Kerin;Irma Vlasac;Diane Mellinger;Lorraine Gwilt;Thomas H. Hampton;Martha Graber;Alix Ashare;William T. Harris;Brock Christensen;Bruce A. Stanton;Agnieszka Swiatecka-Urban;Sladjana Skopelja-Gardner - 通讯作者:
Sladjana Skopelja-Gardner
Bruce A. Stanton的其他文献
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{{ truncateString('Bruce A. Stanton', 18)}}的其他基金
Let-7b in Extracellular Vesicles Secreted by Bronchial Epithelial Cells Increases the Antibiotic Sensitivity of Pseudomonas
支气管上皮细胞分泌的胞外囊泡中的 Let-7b 增加假单胞菌的抗生素敏感性
- 批准号:
10319005 - 财政年份:2020
- 资助金额:
$ 25.11万 - 项目类别:
Let-7b in Extracellular Vesicles Secreted by Bronchial Epithelial Cells Increases the Antibiotic Sensitivity of Pseudomonas
支气管上皮细胞分泌的胞外囊泡中的 Let-7b 增加假单胞菌的抗生素敏感性
- 批准号:
10525239 - 财政年份:2020
- 资助金额:
$ 25.11万 - 项目类别:
Retrieval, Reprocessing, Normalization and Sharing of Gene Expression and Lung Microbiome Data Sets to Facilitate AI/ML Analysis Studies of Bacterial Lung Infections
基因表达和肺部微生物组数据集的检索、再处理、标准化和共享,以促进细菌肺部感染的 AI/ML 分析研究
- 批准号:
10594180 - 财政年份:2020
- 资助金额:
$ 25.11万 - 项目类别:
Dartmouth Lung Biology Center for Molecular, Cellular and Translational Research
达特茅斯肺生物学分子、细胞和转化研究中心
- 批准号:
9115188 - 财政年份:2013
- 资助金额:
$ 25.11万 - 项目类别:
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