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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/.

Radiation detection and measurement education is necessary for a wide variety of people working with radiation. The equipment and laboratory setup needed for delivering this education are expensive and difficult to assemble due to the large variety of the type of experiments that are desirable to cover. For a basic education one needs to have gamma, beta, alpha and neutron sources, at least one detector to detect each type of radiation and other supplemental instrumentation to perform...