Samasy

A Sample Management System for 96 well plates, including robotic transfer.

Sample automation and management is increasingly important as the number and size of population-scale and high-throughput projects grow. This is particularly the case in large-scale population studies where sample size is far outpacing the commonly used 96-well plate format. To facilitate management and transfer of samples in this format, we present Samasy, a web-based application for the construction of a sample database, intuitive display of sample and batch information, and facilitation of automated sample transfer or subset. Samasy is designed with ease-of-use in mind, can be quickly set up, and runs in any web browser.

Details about how Samasy is implemented can be found here.

Please cite the following publication if Samasy is used for an academic project:
Biotechniques. 2018 Dec;65(6):357-360

Getting Started

Best Method: Docker

Samasy is now dockerized, making installation and running dead simple. To get started, install docker and then run the following commands in your terminal:

docker # To test that docker is installed properly, should display docker usage and commands
docker pull ccario83/samasy # To get the samasy docker image
docker run -p9000:9000 ccario83/samasy:latest # To start the app

Now point your browser to http://localhost:9000/ and follow the on-screen instructions.

That's it!

Manual Method

Install RVM and Ruby 2.0.0

This software was written and tested with ruby 2.0.0. We recommend installing this version with rvm if you have a another verison on your system:

$ gpg --keyserver hkp://keys.gnupg.net --recv-keys 409B6B1796C275462A1703113804BB82D39DC0E3
$ \curl -sSL https://get.rvm.io | bash -s stable --ruby
$ source $HOME/.rvm/scripts/rvm
$ rvm install 2.0.0
$ rvm use 2.0.0

Install System Libraries and Ruby Gems (For a Debian based system)

$ sudo apt-get install git libsqlite3-dev # brew install git sqlite3 on a Mac
$ gem install bundler

Install and Run the Application (3-steps)

$ git clone https://github.com/wittelab/samasy.git
$ cd samasy && bundle
$ rackup

You can now point your browser to http://localhost:9292 and follow the on screen directions

The interface showing the Batch view:

Lightweight 96-well Plate Labeling and/or Color Coding

See: https://gist.github.com/ccario83/2fc713571e7ddab01486a7f487adeafb