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Textrous!

Textrous!

Textrous!, a web-based framework for the extraction of biomedical semantic meaning from a given input gene set of arbitrary length. Textrous! employs natural language processing techniques, including latent semantic indexing (LSI), sentence splitting, word tokenization, parts-of-speech tagging, and noun-phrase chunking, to mine MEDLINE abstracts, PubMed Central articles, articles from the Online Mendelian Inheritance in Man (OMIM), and Mammalian Phenotype annotation obtained from Jackson Laboratories. Textrous! has the ability to generate meaningful output data with even very small input datasets, using two different text extraction methodologies (collective and individual) for the selecting, ranking, clustering, and visualization of English words obtained from the user data. Textrous!, therefore, is able to facilitate the output of quantitatively significant and easily appreciable semantic words and phrases linked to both individual gene and batch genomic data.

This software is available for use directly on its own web page. Click Here to start using Textrous!. Please cite the paper when employing this tool in publications or other forms of media.

Chen H, Martin B, Daimon CM, Siddiqui S, Luttrell LM, et al. (2013) Textrous!: Extracting Semantic Textual Meaning from Gene Sets. PLoS ONE 8(4): e62665. doi:10.1371/journal.pone.0062665.
http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0062665
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Updated: Friday July 11, 2014