While the rapidly expanding resource of microarray data is currently analyzed primarily using diverse clustering techniques, methods for the analysis of network-type data describing interrelations of genes and proteins are less mature, and methods for joint analysis of the two data types are in nascent stage.
The proposed query tool will provide researchers with a much needed device to explore the rich resources of vast microarray databases available.
The development of microarray resources for F. heteroclitus [ 31, 32] has facilitated the comparison of gene expression profiles in individuals from HAH-sensitive and resistant populations.
The development of microarray resources for the chicken is an important step in being able to profile gene expression changes occurring in birds in response to different challenges and stimuli.
The different major collections now available for the Solanaceae transcriptomes are however equivalently used by the entire community, as they represent the basic collection for specific expression arrays (e.g. a list of microarray resources for tomato is available in [ 20] Table 2), for COS marker definition [ 11], for genome annotation [ 12].
To this aim, Simpson et al, [ 19] have recently initiated the development of a central resource for the accumulation of microarray data from heterozygous individuals.
However, to our knowledge, none of the resources incorporate microarray co-expression data of TFs and their TGs in promoter analysis system or in TRNs reconstruction system in Arabidopsis.
We collected hypothalami from free-living male song sparrows (Melospiza melodia morphna) in both breeding and non-breeding seasons after eliciting territorial aggression in the field by challenge experiments, called simulated territorial intrusions (STI), and we analyzed gene expression using microarray resources of the Songbird Neurogenomics Initiative (SoNG) [21].
EXPath is an overarching repository geared towards plant scientists to facilitate the retrieval of microarray gene expression data from publicly available resources and the analysis of comparative expression.
This work provides a foundation for the systematic classification of gene expression profiles via mining the vast resource of publicly available microarray data.
