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--- title: "Introduction to KEGGlincs" author: "Shana White" date: "03/23/2017" --- by [Shana White]( Installation: ```{r} #Make sure that the following bioconductor packages are installed if (!requireNamespace("BiocManager", quietly=TRUE)) install.packages("BiocManager") BiocManager::install(c("hgu133a.db", "KEGGgraph", "KEGGREST", "KOdata")) #Download package BiocManager::install("KEGGlincs") #Load/activate package for use library(KEGGlincs) ``` # Overview of package ![]( ---- KEGGlincs is an R package that provides a seamless interface for viewing detailed versions of KEGG pathways in Cytoscape such that the exact relationships (*edges*) that exist between pathway elements (*nodes*) are visualized in a meaningful manner. This package is intended to be used as a tool to accurately regenerate KEGG pathways with *expanded* edges that are marked-up (in terms of color or color+width) to portray specific *edge attributes*. Specifically, - the edges are *expanded* to represent all relationships between genes encoded by the [KGML file]( but not necessarily represented in the original [KEGG] pathway. This 'expansion' occurs either because: - one node may represent many [often paralogous] genes. - a node is of type 'group' and represents two or more genes that are part of the same functional complex. - the *edge attributes* represented can be specified by the user as either: - Functional - the exact *type* and [in some cases] *subtype* of the relationship defined by the KGML file. - Data driven - based on quantitative experimental evidence for gene-gene relationships generated by experimental data. As an added feature and motivating example, this package gives users an opportunity to use [LINCS L1000 knock-out data]( in order to analyze/visualize the pathway edges as they pertain to specific [cell lines]( Aside from edge-specific annotation/mark-up, a unique feature of this package lies in the ability for users to generate graph objects in R and send them to [Cytoscape]( for an interactive visualization experience via utilities developed by the [cyREST team]( The following example showcases the ideas described above. ## Example: p53 pathway ### Original KEGG pathway: ![p53 pathway from KEGG website]( ### Using KEGGlincs without adding data: #### Detailed pathway visualized in Cytoscape - Explicitly shows all documented edges - Color-coded to easily interpret edge type (i.e. activation, inhibition, etc.) - Edge color key: <a><img src=""/></a> *Note: An open Cytoscape session is required for pathway visualization; i.e. make sure that Cytoscape is open before running the following commands* ```{r} KEGG_lincs("hsa04115") ``` ![]( ### Overlay pathway edges with LINCS data: #### Pathway with edge attributes generated from LINCS L1000 knock-out data, *refined* by cell-line specific expression (default option, see below), and visualized in Cytoscape - Explicitly shows all documented edges; edges that do not exist in the data appear but are not marked-up for interpretation [of significance]. - If baseline expression data is available for the selected cell-line, the pathway will be *refined* to only include edges between genes that are expressed in a given cell line. The nodes for unexpressed genes are colored gray. - Widths: Magnitude of concordance for the edge in the selected cell-type - Colors: Direction and significance for the edge in the selected cell-type (based on a modified odds-ratio score). - Edge color key (+/- refers to *direction* of score; scores are considered significant if adjusted p-value is >= 0.05): <a><img src=""/></a> #### Pathway specific to PC3 cell-line (Prostate cancer) ```{r} KEGG_lincs("hsa04115", "PC3") ``` ![]( #### Pathway specific to HA1E cell-line (Immortalized normal kidney epithelial) ```{r} KEGG_lincs("hsa04115", "HA1E") ``` ![](