The global protein and gene expression profiling technologies have revolutionized the study of normal and malignant cells. Transcriptomes permitted to delineate subtypes of B-cell lymphomas which were otherwise histologically and clinically undistinguishable. Although the data mining of proteomes or transcriptomes from these malignant cells can unveil new aspects of their biology, tools to simultaneously compare several samples are scarce. Here we depict nwCompare and Autocompare, two new freewares we developed with this aim, and examplify their use for the comparative data mining of transcriptomes from normal human B cells and B cell lymphomas such as follicular lymphomas (FL) and diffuse large Bcell lymphomas (DLBCL).
CITATION STYLE
Pont, F., Tosolini, M., Ycart, B., & Fourni, J.-J. (2012). nwCompare and AutoCompare Softwares for Proteomics and Transcriptomics Data Mining – Application to the Exploration of Gene Expression Profiles of Aggressive Lymphomas. In Integrative Proteomics. InTech. https://doi.org/10.5772/29555
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