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RNA-Seq is becoming the standard technology for large-scale gene expression level measurements, as it offers a number of advantages over microarrays. Standards for RNA-Seq data analysis are, however, in its infancy when compared to those of microarrays. Clustering, which is essential for understanding gene expression data, has been widely investigated w.r.t. microarrays. In what concerns the clustering...
This paper presents a comprehensive analysis of a novel temporal dataset of Shewanella oneidensis. Here we propose to cluster the temporal gene expression data of Shewanella oneidensis to define its molecular response at different time intervals following acidic pH and basic pH exposure and to find a relation of these temporal data at different environmental conditions. A mapping between those clusters...
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