PUBLICATION

GenCLiP 2.0: a web server for functional clustering of genes and construction of molecular networks based on free terms

Authors
Wang, J.H., Zhao, L.F., Lin, P., Su, X.R., Chen, S.J., Huang, L.Q., Wang, H.F., Zhang, H., Hu, Z.F., Yao, K.T., Huang, Z.X.
ID
ZDB-PUB-140513-88
Date
2014
Source
Bioinformatics (Oxford, England)   30(17): 2534-6 (Journal)
Registered Authors
Zhao, Lingfeng
Keywords
none
MeSH Terms
  • Cluster Analysis
  • Data Mining/methods*
  • Gene Regulatory Networks*
  • Genes*
  • Humans
  • Internet
  • MEDLINE
  • Software*
PubMed
24764463 Full text @ Bioinformatics
Abstract
Identifying biological functions and molecular networks in a gene list and how the genes may relate to various topics is of considerable value to biomedical researchers. Here, we present a web-based text-mining server, GenCLiP 2.0, which can analyze human genes with enriched keywords and molecular interactions. Compared with other similar tools, GenCLiP 2.0 offers two unique features: (i) analysis of gene functions with free terms (i.e. any terms in the literature) generated by literature mining or provided by the user and (ii) accurate identification and integration of comprehensive molecular interactions from Medline abstracts, to construct molecular networks and subnetworks related to the free terms.
http://ci.smu.edu.cn.
Genes / Markers
Figures
Expression
Phenotype
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Fish
Antibodies
Orthology
Engineered Foreign Genes
Mapping