Cross species analysis of microarray expression data

AUTOR(ES)

Lu, Yong

FONTE

Oxford University Press

RESUMO

Motivation: Many biological systems operate in a similar manner across a large number of species or conditions. Cross-species analysis of sequence and interaction data is often applied to determine the function of new genes. In contrast to these static measurements, microarrays measure the dynamic, condition-specific response of complex biological systems. The recent exponential growth in microarray expression datasets allows researchers to combine expression experiments from multiple species to identify genes that are not only conserved in sequence but also operated in a similar way in the different species studied.

Documentos Relacionados

• WebArrayDB: cross-platform microarray data analysis and public data repository
• Model-based cluster analysis of microarray gene-expression data
• yMGV: a cross-species expression data mining tool
• Expression Profiler: next generation—an online platform for analysis of microarray data
• GEPAS: a web-based resource for microarray gene expression data analysis