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Preimplantation development regulatory pathway construction through a text-mining approach

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Item Type:Article
Title:Preimplantation development regulatory pathway construction through a text-mining approach
Creators Name:Donnard, E. and Barbosa-Silva, A. and Guedes, R.L. and Fernandes, G.R. and Velloso, H. and Kohn, M.J. and Andrade-Navarro, M.A. and Ortega, J.M.
Abstract:The integration of sequencing and gene interaction data and subsequent generation of pathways and networks contained in databases such as KEGG Pathway is essential for the comprehension of complex biological processes. We noticed the absence of a chart or pathway describing the well-studied preimplantation development stages; furthermore, not all genes involved in the process have entries in KEGG Orthology, important information for knowledge application with relation to other organisms.
Keywords:Cluster Analysis, Data Mining, Embryonic Development, Factual Databases, Gene Regulatory Networks, Information Storage and Retrieval, Software, Stem Cell Transplantation, Animals, Mice
Source:BMC Genomics
Publisher:BioMed Central (U.K.)
Number:Suppl 4
Page Range:S3
Date:22 December 2011
Official Publication:https://doi.org/10.1186/1471-2164-12-S4-S3
PubMed:View item in PubMed

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