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Major Pathway Extensions Announced for Literature Lab™ Accelerating Discovery of Valuable Scientific KnowledgeBoston, MA – May 5, 2009: Acumenta Corporation (www.acumenta.com) announces major extensions to capabilities for data mining and presentation of signaling and metabolic pathways in Literature Lab™. The new release of Literature Lab™ identifies references in the scientific literature to 624 pathways described in the BioCarta pathways database, the KEGG pathways database, the NCI-Nature Pathway Interaction Database, and WikiPathways. New identifying symbols in the Literature Lab™ Results Viewer enrich gene and pathway data and identify gene contributions to important pathway associations. “Literature Lab™ provides a valuable perspective for researchers” said Stephen C. Taylor, Acumenta’s CEO and chief architect of Literature Lab™. “We are uniquely showing gene/pathway relationships in the literature that are upstream or downstream, as well as in pathways significantly related to gene lists from microarray and other genomic analysis.” “Literature Lab™ sifts through 10 million scientific journal abstracts to identify important associations with over 78,000 unique terms in the pathways and 17 other biochemical domains.” said Paul R. Martinez, Acumenta's Vice President of Sales and Marketing. “By rigorously analyzing the entire corpus of PubMed and identifying content that is related to a scientist's current work, Literature Lab™ uncovers unanticipated and valuable new lines of insight.” Literature Lab™ is a literature mining application for scientists in academic/research institutions and biotechnology and pharmaceutical companies. It enriches gene sets through mining and statistical analysis of scientific literature related to experimentally derived gene sets and improves understanding of underlying biology for scientists involved in research on new disease therapies. By simplifying advanced literature mining, Literature Lab™ is a significant addition to the repertoire of new tools that are emerging to help scientists accelerate biological discovery. Literature Lab™ currently mines over 10 million PubMed abstracts and infers biology from microarray data or any gene list of interest to life scientists. A Literature Lab™ analysis on 200 genes performs the approximate equivalent of 15 Billion manual searches. To learn more about the core analytics functions of Literature Lab™ please refer to this article in BMC Genomics: http://www.biomedcentral.com/1471-2164/8/461 Literature Lab™ is provided by Acumenta as a service or as a turn-key software application. Founded in 2001, Acumenta Corporation is based in Boston, Massachusetts. Acumenta is a software and information company serving biotechnology and pharmaceutical firms and non-profit research organizations. Acumenta builds applications on the Acumenta platform that automate information gathering, analysis and management tasks associated with Web-based and proprietary external and internal databases. Acumenta's curated Thesaurus of Gene and Protein Nomenclature and software products improve both the efficiency and quality of research in the life sciences R&D function. Contact: Paul Martinez |
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