CellCycle_StochasticModel

This repo contains details of the stochastic modelo to describe the population of cells in different phases of the cell cycle.

• For suggestions, open questions and bugs please use the issue tracker.
• Different pipelines are managed via branches. The master branch points to the default pipeline.
• The project itself is managed in the Trello Board

For an examples analyzing a mock community see https://cdiener.github.io/microbiome.

Installation

If you want to perform Human sequence removal you will need bmtagger installed. The tools are bundled in the mbtools R package which also depends on all additional packages you need to run the analyses. You will need to install bioconductor first followed by running

install.packages('devtools')
devtools::install_github('cdiener/microbiome/mbtools')

in R.

Alternatively you can use the Docker image which is built and kept up to date automatically by watching this repo. For this you will require a local installation with Docker or a cloud instance which can run docker (for instance CoreOS VMs on AWS or Google Cloud).

Using the docker image

First get the image with

docker pull cdiener/microbiome

You can now start a Rstudio instance at port 8000 using

docker run -d -p 8000:8787 cdiener/microbiome

Now navigate your browser to :8000 (for instance localhost:8000 if you run docker on your machine) and you will be prompted for user credentials (use "rstudio" for user and password). All packages and dependencies are already installed here.

FAQ

• How do I change the password? Login to the rstudio account with the default credentials (user and password are "rstudio"). Click on the "Tools" in the menu bar and choose "Shell". Type "passwd" and Enter. You will be promted for the old and new password.