An integrated resource for investigating miRNA - disease associations
The code and data comprising the miR2Trait resource are described in the miR2Trait wiki. All code is developed using Python 3.x
- Creating Python dictionary data structures of processed DisGeNET data
- Creating Python dictionary data structures of processed miRTarBase data
- Generating the miR2Trait db mappings
- Querying miR2Trait by disease
- Querying miR2trait by miRNA
- miRNA List Enrichment Analysis
- Disease Set Abundance Analysis
- Creation of miRNA-miRNA and disease-disease adjacency networks
- Top Nodes from Adjacency Networks -- Network post-processing to yield consensus central nodes
- Querying miRNA information from miRBase
- Creating a toy MySQLdb
Following Python 3.x libraries are required:
- pandas
- scipy
- pickle
- mysql-connector-python (optional: for creation of MySQL db)
For more details, reproducible examples, and citation, please see:
Babu P, Palaniappan A. 2022. miR2Trait: an integrated resource for investigating miRNA-disease associations. PeerJ 10:e14146 https://doi.org/10.7717/peerj.14146
E-mail: apalania.at.scbt.sastra.edu