Preimplantation development regulatory pathway construction through a text-mining approach.

ABSTRACT:

Background

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.

Results

In this work we sought to develop the regulatory pathway for the preimplantation development stage using text-mining tools such as Medline Ranker and PESCADOR to reveal biointeractions among the genes involved in this process. The genes present in the resulting pathway wer

SUBMITTER: Donnard E 

PROVIDER: S-EPMC3287586 | biostudies-literature | 2011 Dec

REPOSITORIES: biostudies-literature