The large amount of biomedical literature and the high frequency at which new papers are published, seriously challenges the biomedical researcher to keep abreast of the current developments. Here we introduce a tool, Anni 2.1, designed to aid the researcher with a broad range of information needs. Anni provides an ontology-based interface to Medline and retrieves documents and associations for several classes of biomedical concepts, including genes, drugs and diseases, with proven text-mining technology.
Anni can be used for simple queries, such as: give me all the genes that are associated with "prostatic neoplasms". Another typical application of the tool is to explore the associations between a set of concepts, such as a list of genes that were found to be differentially expressed in a DNA microarray experiment. Anni can also be applied for literature-based knowledge discovery. For the last two applications a tutorial can be found on the website.
Please note that Anni currently only supports human, mouse, rat, Escherichia coli, Saccharomyces cerevisiae, Drosophila melanogaster, zebrafish, Caenorhabditis elegans and chicken genes!
Click here to launch Anni 2.1
Important: the new version of Anni requires the latest version of Java! Please update before proceeding.
Anni runs on Java, you might need to reduce your java security setting to run anni. If you do not have Java installed, download it here.
- Tutorial 1: Analyzing a microarrray dataset
- Dataset as mentioned in tutorial 1
- Tutorial 2: Knowledge discovery
To read the manual and tutorials, you'll need Adobe Acrobat Reader.
Anni is being updated regularly to incorporate the latest literature, which may lead to different results over time. Last update was on April 1, 2010.
If you have used Anni in your study, please cite:
Jelier R, Schuemie MJ, Veldhoven A, Dorssers LC, Jenster G, Kors JA. (2008) Anni 2.0: a multipurpose text-mining tool for the life sciences. Genome Biology 2008 Jun 12, 9(6):R96