Extracting Information for Meaningful Function Inference through Text-Mining

Autor: Sanjay Swarup, Weng Keong Choy, Zhuo Zhang, Sin Lam Tan, Vidhu Choudhary, Archana Meka, Rajaraman Kanagasabai, Bijayalaxmi Mohanty, Li Zuo, Vladimir B. Bajic, Hong Pan, Pardha Sarathi Veladandi, S. P. T. Krishnan
Rok vydání: 2007
Předmět:
Zdroj: Discovering Biomolecular Mechanisms with Computational Biology ISBN: 9780387345277
DOI: 10.1007/0-387-36747-0_5
Popis: One of the emerging technologies in computational biology is text-mining which includes natural language processing. This technology enables extraction of parts of relevant biological knowledge from a large volume of scientific documents in an automated fashion. We present several systems which cover different facets of text-mining biological information with applications in transcription control, metabolic pathways, and bacterial cross-species comparison. We demonstrate how this technology can efficiently support biologists and medical scientists to infer function of biological entities and save them a lot of time, paving way for more focused and detailed follow-up research.
Databáze: OpenAIRE