ALMATextMiner is a system for extracting relevant bibliographic information related to groups of genes. The goal of the system is discovering and pinpointing the important facts related to a given group of genes but not to others. To do so, for each group of genes the system retrieves pertinent keywords, sentences, and links to relevant articles. These are then weighted such that information that is specifically relevant to each group is highlighted. This helps significantly in the functional annotation of each group of genes, and has the potential to undercover many other interesting informations (involvement in diseases, important mutations or alterations, connections with celullar processes and pathways, etc.). Even if the most obvious application of the system is in the annotation of microarray results, the analysis of any set of genes or proteins is possible. The system can therefore be used for a number of genomics and proteomics applications.

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