BMC Bioinformatics

official impact factor 3.03

Open Access Highly Access

MeInfoText: associated gene methylation and cancer information from text mining

Yu-Ching Fang, Hsuan-Cheng Huang* and Hsueh-Fen Juan*

BMC Bioinformatics 2008, 9:22 doi:10.1186/1471-2105-9-22

Accesses  

  • Last 30 days: 46 accesses
  • Last 365 days: 624 accesses
  • All time: 3661 accesses

Cited by

BioMed Central: 5 citations

Database   Open Access

MeInfoText 2.0: gene methylation and cancer relation extraction from biomedical literature

Yu-Ching Fang, Po-Ting Lai, Hong-Jie Dai, Wen-Lian Hsu BMC Bioinformatics 2011, 12:471 (14 December 2011)

Research   Open Access

Event extraction for DNA methylation

Tomoko Ohta, Sampo Pyysalo, Makoto Miwa, Jun’ichi Tsujii Journal of Biomedical Semantics 2011, 2(Suppl 5):S2 (6 October 2011)

Database   Open Access Highly Accessed

Text-mining of PubMed abstracts by natural language processing to create a public knowledge base on molecular mechanisms of bacterial enteropathogens

Sam Zaremba, Mila Ramos-Santacruz, Thomas Hampton, Panna Shetty, Joel Fedorko, Jon Whitmore, John M Greene, Nicole T Perna, Jeremy D Glasner, Guy Plunkett, Matthew Shaker, David Pot BMC Bioinformatics 2009, 10:177 (10 June 2009)

Database   Open Access

TCMGeneDIT: a database for associated traditional Chinese medicine, gene and disease information using text mining

Yu-Ching Fang, Hsuan-Cheng Huang, Hsin-Hsi Chen, Hsueh-Fen Juan BMC Complementary and Alternative Medicine 2008, 8:58 (14 October 2008)

A new database of traditional Chinese medicine integrates knowledge of herbal remedies with modern genetic and biochemical analysis to clarify understanding of these treatments and point to future areas of study.

Review   Free

Linking genes to literature: text mining, information extraction, and retrieval applications for biology

Martin Krallinger, Alfonso Valencia, Lynette Hirschman Genome Biology 2008, 9(Suppl 2):S8 (1 September 2008)