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GNAT recognizes gene names in text and maps them to NCBI Entrez Gene
GNAT is a BioNLP/text mining tool to recognize and identify gene/protein names in natural language text. It will detect mentions of genes in text, such as PubMed/Medline abstracts, and disambiguate them to remove false positives and map them to the correct entry in the NCBI Entrez Gene database by gene ID.
March 2017: We started to upload GNAT output on Medline. See files/results/medline/.
JavaMachineLearning Library is a library of machinelearning algorithms and related datasets. Machinelearning techniques include: clustering, classification, feature selection, regression, data pre-processing, ensemble learning, voting, ...
Moara is a biological text mining tool and consists of a Java library and some auxiliary MySQL databases for gene/protein training and extraction of mentions and its further normalization and disambiguation.