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CORE--Bioinformatics-Biostatistics

CORE--生物信息学-生物统计学

基本信息

批准号：
7673357
负责人：
BIN TIAN
金额：
$ 7.6万
依托单位：
UNIV OF MED/DENT OF NJ-NJ MEDICAL SCHOOL
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：
https://reporter.nih.gov/project-details/7673357
关键词：
Accounting Affect Alternative Splicing Amino Acid Motifs Amino Acid Sequence Analysis of Variance Animals Area Base Sequence Bayesian Method Binding Sites Bioinformatics Biological Process Biometry Blast Cell Boxing Calcium Binding Cardiac Categories Cell Death Cell Differentiation process Cell Nucleus Cell physiology Characteristics Chromosome Mapping Cluster Analysis Code Collection Color Communication Computers Condition Confidence Intervals Consensus Consensus Sequence Control Groups Coronary Occlusions Coronary artery DNA DNA Microarray Chip DNA Microarray format DNA Probes DNA biosynthesis Data Data Analyses Data Set Data Storage and Retrieval Databases Denervation Deposition Detection Doctor of Philosophy Down-Regulation Dyes Electrophoresis Elements Endocardium Enhancers Environment European Evaluation Event Experimental Designs Explosion Expressed Sequence Tags Factor Analysis Family suidae Fluorescent Dyes Follow-Up Studies Gel Gene Chips Gene Expression Gene Expression Regulation Genes Genetic Genetic Transcription Genome Genomics Head Hour Human Image Imagery Indium Individual Information Resources Information Technology Institutes Internet Intranet Ischemia Knockout Mice Knowledge Label Lead Left Link Linux Literature MALDI-TOF Mass Spectrometry Maps Mass Spectrum Analysis Measurement Measures Memory Messenger RNA Metabolic Pathway Methods Metric Microarray Analysis Modeling Molecular Multivariate Analysis Mus Myocardial Infarction Myocardial Ischemia Myocardium Names Network-based New Jersey Nitric Oxide Nucleic Acids Nucleotides Numbers Oligonucleotides Ontology Pathway Analysis Pathway interactions Pattern Peptide Sequence Determination Phosphorylation Phosphorylation Site Phosphotransferases Physiological reperfusion Population Population Study Post-Transcriptional Regulation Post-Translational Protein Processing Principal Component Analysis Principal Investigator Procedures Promoter Regions Protein Analysis Protein Databases Proteins Proteomics PubMed Publications RNA RNA Binding Randomized Rate Rattus Reading Reperfusion Therapy Reporting Research Personnel Resources Rest Retrieval Right-On Role Running SAS Sample Size Sampling Sarcoplasmic Reticulum Scanning Schedule Scheme Sequence Alignment Sequence Homology Series Services Signal Transduction Significance Level Software Tools Sorting - Cell Movement Source Spottings Staging Standards of Weights and Measures Statistical Methods Statistical Models Stunned Myocardium Sum Survival Analysis Sus scrofa SwissProt System T-Lymphocyte Techniques Technology Tertiary Protein Structure Testing Time Time Factors Transcriptional Activation Transforming Growth Factor beta Transforming Growth Factor beta Receptors Transgenes Transgenic Mice Transgenic Organisms Treatment Factor Tube Two-Dimensional Gel Electrophoresis Up-Regulation Update Value Meaning Variant Ventricular Weight Wild Type Mouse Work Writing abstracting analog artery occlusion base cyanine dye 5 day design expectation gene function genome database genome sequencing interest mRNA Expression medical schools novel strategies preconditioning present value prevent programs promoter protein function protein protein interaction receptor research study self organization statistics text searching tool transcription factor

项目摘要

Core D, Bioinformatics/Biostatistics is designed to support other entities in the Program Project in the areas of bioinformatics and biostatistics. By closely working with Core C, Genomics/Proteomics and individual Projects, this Core will be responsible for analyzing genomic and proteomic data using bioinformatic methods and evaluating experiments and results with statistical methods. Accordingly, this Core will be required for all Projects that utilize Core C, Genomics/Proteomics. In addition, biostatistics will be required for all of the Projects as well as this Core.

核心D，生物信息学/生物统计学旨在支持计划项目中的其他实体，生物信息学和生物统计学。通过与核心C、基因组学/蛋白质组学和个人项目，该核心将负责使用生物信息学方法分析基因组和蛋白质组数据用统计学方法评价实验和结果。因此，这一核心将需要所有利用核心C，基因组学/蛋白质组学的项目。此外，还需要对所有项目，以及这个核心。