Welcome to OpenOmics’s documentation!#
This Python package provide a series of tools to integrate and query the genomics, transcriptomics, proteomics, and clinical data (aka, the multi-omics data). With scalable data-frame manipulation tools, OpenOmics facilitates the common coding tasks when preparing data for RNA-seq bioinformatics analysis.
Provides a bioinformatics workflow to generate integrative results from multi-omics data.
Facilitates integration of various bio-databases, multi-omics expression, genomics, and clinical data.
Highly flexible to different data types and missing data.
Provides researchers with means to consistently store and explore their experimental datasets.
Enables scalable performance with parallel computing, while easily configurable to deploy on both single machine and a cluster.
Table of Content#
- Getting started
- Loading a multi-omics dataset
- External annotation databases
- Creating biological interaction networks
- Preparing data for downstream analyses