Chapter category: Bioinformatics
Extracting Information for Meaningful Function Inference Through Text-Mining
Chapter authors:
Hong Pan, Li Zuo, Rajaraman Kanagasabai, Zhuo Zhang, Vidhu Choudhary, Bijayalaxmi Mohanty, Sin Lam Tan, S.P.T. Krishnan, Pardha Sarathi Veladandi, Archana Meka, Weng Keong Choy, Sanjay Swarup and Vladimir B. Bajic*
One of the emerging technologies in computational biology is text-mining which in cludes 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.
