QTLMiner: QTL database curation by mining tables in literature

Bioinformatics

Volumn 31, Issue 10, 2015, Pages 1689-1691

  Peng, Jing ^a,c   Shi, Xinyi ^c   Sun, Yiming ^b   Li, Dongye ^a   Liu, Baohui ^c   Kong, Fanjiang ^c   Yuan, Xiaohui ^c  

^a NORTHEAST AGRICULTURAL UNIVERSITY   (China)

^b CHANGCHUN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^c NORTHEAST INSTITUTE OF GEOGRAPHY AND AGRICULTURAL ECOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

GLYCINE MAX;

COMPUTER PROGRAM; DATA MINING; GENETICS; NUCLEIC ACID DATABASE; PROCEDURES; PUBLICATION; QUANTITATIVE TRAIT LOCUS; SOYBEAN;

DATA MINING; DATABASES, NUCLEIC ACID; PUBLICATIONS; QUANTITATIVE TRAIT LOCI; SOFTWARE; SOYBEANS;

EID: 84929626131     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btv016     Document Type: Article

References (6)

1. Grant D., et al. (2010). SoyBase, the USDA-ARS soybean genetics and genomics database. Nucleic Acids Res., 38, D843-D846
2. Monaco M.K., et al. (2014). Gramene 2013: comparative plant genomics resources. Nucleic Acids Res., 42, D1193-D1199
3. Richard S., et al. (2013). Parsing with compositional vector grammars. In: Proceedings of ACL 2013
4. Thomas A., et al. (2010). Highlights of the BioTM 2010 workshop on advances in bio text mining, BMC Bioinf., 11, I1
5. Wang J., et al. (2012). Understanding tables on the web. LNCS, 7532, 141-155
6. Yang Y. and Luk W.-S. (2002). A framework for web table mining. In: Proceedings of the International Workshop on Web Information and Data Management, pp. 36-42