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GNAT recognizes gene names in text and maps them to NCBI Entrez Gene
GNAT is a BioNLP/textmining 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.
Weka wrapper for the SGM toolkit for text classification and modeling.
Weka wrapper for the SGM toolkit for text classification and modeling. Provides Sparse Generative Models for scalable and accurate text classification and modeling for use in high-speed and large-scale textmining. Has lower time complexity of classification than comparable software due to inference based on sparse model representation and use of an inverted index.
The provided .zip file is in the Weka package format, giving access to text classification. ...
Moara is a biological textmining 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.