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Oxford University Press (OUP), Bioinformatics

DOI: 10.1093/bioinformatics/btz807

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GenCLiP 3: mining human genes' functions and regulatory networks from PubMed based on co-occurrences and natural language processing

This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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Abstract

Abstract Summary We present a web server, GenCLiP 3, which is an updated version of GenCLiP 2.0 to enhance analysis of human gene functions and regulatory networks, with the following improvements: i) accurate recognition of molecular interactions with polarity and directionality from the entire PubMed database; ii) support for Boolean search to customize multiple-term search and to quickly retrieve function related genes; iii) strengthened association between gene and keyword by a new scoring method; and iv) daily updates following literature release at PubMed FTP. Availability The server is freely available for academic use at: http://ci.smu.edu.cn/genclip3/. Supplementary information Supplementary data are available at Bioinformatics online.