Title | Pathway Analysis and Omics Data Visualization Using Pathway Genome Databases: FragariaCyc, a Case Study. |
Publication Type | Journal Article |
Year of Publication | 2017 |
Authors | Naithani, S, Jaiswal, P |
Journal | Methods in molecular biology (Clifton, N.J.) |
Volume | 1533 |
Pagination | 241-256 |
Date Published | 2017 |
ISSN | 1940-6029 |
Keywords | Computational Biology, Databases, Gene Regulatory Networks, Genetic, Genome, Genomics, Metabolic Networks and Pathways, plant, Plants, Search Engine, Signal Transduction, Software, Species Specificity, Web Browser |
Abstract | The species-specific plant Pathway Genome Databases (PGDBs) based on the BioCyc platform provide a conceptual model of the cellular metabolic network of an organism. Such frameworks allow analysis of the genome-scale expression data to understand changes in the overall metabolisms of an organism (or organs, tissues, and cells) in response to various extrinsic (e.g. developmental and differentiation) and/or extrinsic signals (e.g. pathogens and abiotic stresses) from the surrounding environment. Using FragariaCyc, a pathway database for the diploid strawberry Fragaria vesca, we show (1) the basic navigation across a PGDB; (2) a case study of pathway comparison across plant species; and (3) an example of RNA-Seq data analysis using Omics Viewer tool. The protocols described here generally apply to other Pathway Tools-based PGDBs. |
URL | https://doi.org/10.1007/978-1-4939-6658-5_14 |
DOI | 10.1007/978-1-4939-6658-5_14 |