By Vinod D. Kumar, Hannah Jane Tipney
Biomedical Literature Mining, discusses the a number of elements of recent biomedical literature mining and its many purposes in genomics and platforms biology. the amount is split into 3 sections concentrating on info retrieval, built-in text-mining ways and domain-specific mining tools. Written within the hugely winning Methods in Molecular Biology sequence structure, chapters comprise introductions to their respective issues, lists of the mandatory fabrics and reagents, step by step, simply reproducible laboratory protocols and key tips about troubleshooting and keeping off recognized pitfalls.
Authoritative and sensible, Biomedical Literature Mining is designed as an invaluable bioinformatics source in biomedical literature textual content mining for either these lengthy skilled in or totally new to, the field.
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Extra resources for Biomedical Literature Mining
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24 Ritu Khare et al. Users may also switch to a keyword search with a single click. Quertle also supports a list of predefined query keywords that refer to entity types of varying granularity. A Web-based text mining application named PubTator [53, 54] was recently developed to support manual biocuration [55–58]. Because finding articles relevant to specific biological entities (such as gene/protein) is often the first step in biocuration, PubTator supports entity-specific semantic searches based on the use of several competition-winning named entity recognition tools [59–64].