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蛋白质Geneontology,KEGG分析软件David使用方法介绍
* DAVID Database for Annotation, Visualization and Integrated Discovery DAVID? provides a comprehensive set of functional annotation tools for investigators to understand biological meaning behind large list of genes Identify enriched biological themes, particularly GO terms Discover enriched functional-related gene groups ?Cluster redundant annotation terms Visualize genes on BioCarta KEGG pathway maps Display related many-genes-to-many-terms on 2-D view. Search for other functionally related genes not in the list List interacting proteins Explore gene names in batch Link gene-disease associations Highlight protein functional domains and motifs Redirect to related literatures Convert gene identifiers from one type to another. Gene List Manager DAVID Analytic Modules Any given gene is associating with a set of annotationterms. If genes share similar set of those terms, they are most likely involved in similar biologicalmechanisms. The algorithm adopts kappa statistics to quantitatively measure the degree of the agreement how genes share the similar annotation terms. Kappa result ranges from 0 to 1. The higher the value of Kappa, the stronger the agreement. Kappa more than 0.7 typically indicates that agreement of two genes are strong. Kappa values greater than 0.9 are considered excellent. Parameter Panel Gene Clusters Identified by DAVID User’s gene IDs Names 1 2 View and select annotation categories of your interests 3 3 3 Percentage,e.g.44/163 Genes from the list involved in this annotation category Single chart report only for this Annotation categories Table report for all Selected annotation categories Linear or redundant chart report of annotation terms for all selected annotation categories above Clustered or non-redundant chart report of annotation terms for all selected annotation categories above DAVID Gene ID Conversion Tool (DGCT) If a significant portion (20%) of input gene IDs fail
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