How to Use the TDCor Algorithm to Infer Gene Regulatory Networks from Time Series Transcriptomic Data

Area of Science:

• Genomics
• Systems Biology
• Bioinformatics

Background:

• Gene functions are known, but their integrated network remains unclear.
• Understanding gene regulatory networks (GRN) is key to biological processes like development and environmental response.
• High-throughput -omics data offer potential for network reconstruction.

Purpose of the Study:

• To introduce TDCor, a novel algorithm for gene regulatory network inference.
• To provide a user-friendly R package for implementing TDCor.
• To detail the installation and usage of the TDCor R package.

Main Methods:

• Utilized time-series transcriptomic data for network reconstruction.
• Developed the TDCor algorithm based on statistical inference.
• Packaged the TDCor algorithm as an R package.

Main Results:

• Successfully developed the TDCor algorithm for GRN inference.
• Created a publicly available R package for TDCor.
• Provided detailed instructions for package installation and use.

Conclusions:

• TDCor offers a new method for reconstructing gene regulatory networks.
• The TDCor R package facilitates the analysis of transcriptomic data.
• This tool aids researchers in unraveling complex biological regulatory systems.