Identifying biological themes within lists of genes with EASE
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TLDR
EASE is a customizable software application for rapid biological interpretation of gene lists that result from the analysis of microarray, proteomics, SAGE and other high-throughput genomic data and is robust to varying methods of normalization, intensity calculation and statistical selection of genes.Abstract:
EASE is a customizable software application for rapid biological interpretation of gene lists that result from the analysis of microarray, proteomics, SAGE and other high-throughput genomic data. The biological themes returned by EASE recapitulate manually determined themes in previously published gene lists and are robust to varying methods of normalization, intensity calculation and statistical selection of genes. EASE is a powerful tool for rapidly converting the results of functional genomics studies from 'genes' to 'themes'.read more
Citations
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Journal ArticleDOI
Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources.
TL;DR: By following this protocol, investigators are able to gain an in-depth understanding of the biological themes in lists of genes that are enriched in genome-scale studies.
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clusterProfiler: an R Package for Comparing Biological Themes Among Gene Clusters
TL;DR: An R package, clusterProfiler that automates the process of biological-term classification and the enrichment analysis of gene clusters and can be easily extended to other species and ontologies is presented.
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Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists
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A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w1118; iso-2; iso-3
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