What is SyntenyViz

SyntenyViz is a R package to visualise synteny across various biological species.

Motivation

Visualising the synteny across species not only enables intuitive examination and facilitates reconstruction effort of ancestral genomes, but also allow more direct interrogation of gene regulations and gene structures within a gene cluster.

Installation

Install from RStudio

• Install and load devtools

  install.packages("devtools")
  library(devtools)
  

• Install and load SyntenyViz from GitHub

  install_github("DPP4ResearchGroup/SyntenyViz")
  library(SyntenyViz)
  

  To allow build vignettes, build_vignettes = TRUE options can be used as

  install_github("DPP4ResearchGroup/SyntenyViz", build_vignettes = TRUE)
  library(SyntenyViz)
  

  Developing version can be accessed via develop as

  install_github("DPP4ResearchGroup/SyntenyViz", ref = "develop")
  library(SyntenyViz)
  

Quick Start for the Inpatients

Quick and minimum steps to get start a synteney conservation analysis with SyntenyViz

• Define an investigation range We need to firstly define an investigation range to cover the target range in gene coordinate. We will use a mouse dipeptidyl dipeptidase 4 gene (DPP4-mm) in this example, where DPP4-mm locates at chromosome number 2 between 62,330,073-62,412,231 bp.

  # orgm is a handle for organism
  orgmName <- "Mmusculus"
  # mycoords.list is the investigation range handler
  mycoords <- "2:6.0e7:6.5e7"
  

• Convert mycoords.list into a GRange object

  mycoords.gr <- SyntenyViz::coordFormat (mycoords.list = mycoords)
  

  It is always a good habit to double check the input, so

  mycoords.gr
  

• Construct a single synteny graph

  synvizPlot(mycoords.gr, orgmName)
  

  

• Construct a multi synteny graph

Pick a few of targets

orgm.1 <- "Hsapiens"
mycoords.list.1 <- "2:15.95e7:16.45e7"
orgm.2 <- "Mmusculus"
mycoords.list.2 <- "2:6.0e7:6.5e7"
orgm.3 <- "Rnorvegicus"
mycoords.list.3 <- "3:4.6e7:5.1e7"

Then construct a multiple synteny query

orgmsList <- orgmsCollection.init (orgmsList)
orgmsList <- orgmsAdd (orgm.1, orgmTxDB, mycoords.list.1, orgmsList)
orgmsList <- orgmsAdd (orgm.2, orgmTxDB, mycoords.list.2, orgmsList)
orgmsList <- orgmsAdd (orgm.3, orgmTxDB, mycoords.list.3, orgmsList)

Now, construct a comparative multi-synteny graph

multiplot <- multisynvizPlots(orgmsList)

Examples

SyntenyViz also includes training material, which can be accessed via vignettes from RStudio

install_github("DPP4ResearchGroup/SyntenyViz", build_vignettes = TRUE)
browseVignettes("SyntenyViz")

OR a PDF can be accessed from SyntenyViz homepage.

Contribution

1. Fork to your contributing account
2. Create your feature branch (git checkout -b my-new-feature)
3. Commit your changes (git commit -am 'Added some feature')
4. Push to the feature branch (git push origin my-new-feature)
5. Create a new PR

Issue Tracking

Issues and bugs can be raised and tracked through GitHub issue tracker for SyntenyViz.

Unit Testing

Travis CI testing travis status implements R CMD check. The function integrity is checked by R native testthat, which can also be invoked by utility function devtools::test() from RStudio.