Data Analysis, Dissemination, and Systems Modeling

数据分析、传播和系统建模

• 批准号: 8254480
• 负责人: James E Galagan
• 金额: $ 57.86万
• 依托单位: DARTMOUTH COLLEGE
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-04-01 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/8254480
• 关键词: Alternative Splicing; Animals; Antibiotics; Biological; Biological Models; Biology; Characteristics; Chemicals; Computer Simulation; Data; Data Analyses; Development; Enzymes; Exons; Feedback; Foundations; Gene Deletion; Gene Expression; Gene Expression Profile; Gene Proteins; Gene Structure; Genes; Genome; Genomics; Growth; Growth and Development function; Introns; Literature; Metabolic; Metabolism; Modeling; Molds; Mycelium; Neurospora; Neurospora crassa; Ontology; Pharmacologic Substance; Plants; Polyadenylation; Proteins; Publishing; Reproduction spores; Review Literature; Site; Structure; System; Systems Biology; Testing; Transcript; Translations; Untranslated Regions; Vocabulary; Work; asexual; fungus; gene function; genome database; genome-wide; killings; molecular dynamics; network models; pathogen; predictive modeling; protein aminoacid sequence; tool

The defining characteristic of systems biology is that it seeks to develop a systems view of biology as opposed to a components view. This project aims to develop¿in a feedback cycle that guides further experimentation¿predictive computational models that capture the overall dynamics of the molecular network that underlies the shift of Neurospora from mycelia growth to asexual spore development through conidiation. Initial efforts will be directed towards construction of a predictive model for regulatory networks and correlation of this network with existing and new transcriptome and genomic data. This model will be tested and refined through incorporation of new data arising from Project 3 and, most importantly, via perturbation tests facilitated through the use of strains developed in Project 1 and characterized using the tools employed in Project 3. In addition, we will develop a comprehensive model of steady state metabolism in Neurospora and, by combining this model with our regulatory network model, make testable predictions about metabolic state corresponding to different gene expression states

系统生物学的定义特征是，它试图发展生物学的系统观点