Driscoll Lab at Rutgers University specializes in molecular biology, biochemistry, genetics, functional genomics, and bioinformatics.
For any additional information or consultation regarding the code, please contact Nelson Mejia, Mark Saba, or James Saba via email.
This repository houses the R scripts and Python code necessary for analyzing two gene expression microarray profiles.
The first dataset, titled “A Fasting-Responsive Signaling Pathway that Extends Life Span in C. elegans,” is accessible through the DOI: 10.1016/j.celrep.2012.12.018 and the NCBI GEO Accession Number GSE27677.
The second dataset, titled “The Mediator Subunit MDT-15 Confers Metabolic Adaptation to Ingested Material,” can be accessed via the DOI: 10.1371/journal.pgen.1000021 and the NCBI GEO Accession Number GSE9720.
Each dataset underwent slight variations in analysis due to the specific microarrays employed in each study. Consequently, the normalization, transformation, and final processing steps differ for each script. Therefore, it is crucial to carefully review which script is being utilized and execute the corresponding line of code with caution.
Please note that this repository is still under construction, so regular updates will be provided.