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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 |
| ISSN: | 1471-2164 |
| Publisher: | BioMed Central |
| Volume: | 12 |
| 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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