AnnotCompute: annotation-based exploration and meta-analysis of genomics experiments.

ABSTRACT: The ever-increasing scale of biological data sets, particularly those arising in the context of high-throughput technologies, requires the development of rich data exploration tools. In this article, we present AnnotCompute, an information discovery platform for repositories of functional genomics experiments such as ArrayExpress. Our system leverages semantic annotations of functional genomics experiments with controlled vocabulary and ontology terms, such as those from the MGED Ontology, to compute conceptual dissimilarities between pairs of experiments. These dissimilarities are then used to support two types of exploratory analysis-clustering and query-by-example. We show that our proposed dissimilarity measures correspond to a user's intuition about conceptual dissimilarity, and can b

SUBMITTER: Zheng J 

PROVIDER: S-EPMC3244265 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature