Pixel: a content management platform for quantitative omics data.

ABSTRACT:

Background

In biology, high-throughput experimental technologies, also referred as "omics" technologies, are increasingly used in research laboratories. Several thousands of gene expression measurements can be obtained in a single experiment. Researchers are routinely facing the challenge to annotate, store, explore and mine all the biological information they have at their disposal. We present here the Pixel web application (Pixel Web App), an original content management platform to help people involved in a multi-omics biological project.

Methods

The Pixel Web App is built with open source technologies and hosted on the collaborative development platform GitHub (https://github.com/Candihub/pixel). It is written in Python using the Django framework and stores all the data i

SUBMITTER: Denecker T 

PROVIDER: S-EPMC6441322 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature