4.7 Article

Text mining meets workflow: linking U-Compare with Taverna

Journal

BIOINFORMATICS
Volume 26, Issue 19, Pages 2486-2487

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btq464

Keywords

-

Funding

  1. KAKENHI, Mext Japan [18002007, 21500130]
  2. BBSRC [BB/F006012/1]
  3. BBSRC [BB/F006012/1, BB/E004431/1, BB/G53025X/1] Funding Source: UKRI
  4. EPSRC [EP/E036252/1] Funding Source: UKRI
  5. Biotechnology and Biological Sciences Research Council [BB/G53025X/1, BB/E004431/1, BB/F006012/1] Funding Source: researchfish
  6. Engineering and Physical Sciences Research Council [EP/E036252/1] Funding Source: researchfish
  7. Grants-in-Aid for Scientific Research [18002007, 21500130] Funding Source: KAKEN

Ask authors/readers for more resources

Text mining from the biomedical literature is of increasing importance, yet it is not easy for the bioinformatics community to create and run text mining workflows due to the lack of accessibility and interoperability of the text mining resources. The U-Compare system provides a wide range of bio text mining resources in a highly interoperable workflow environment where workflows can very easily be created, executed, evaluated and visualized without coding. We have linked U-Compare to Taverna, a generic workflow system, to expose text mining functionality to the bioinformatics community.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available