DFR vs FLS

This repository harbours all scripts used to study DFR and FLS and their contribution to the competing branches of the flavonoid biosynthesis.

Create a Co-expression plot between any 2 genes of interest based on expression data

Usage:
python3 Coexp_plot.py --count_table_path <FILE> --gene_x <STR> --gene_y <STR> --gene_x_name <STR> --gene_y_name <STR>

Mandatory:
  --count_table_path  FILE  Expression file
  --gene_x            STR   Gene ID(s) to be plotted on X-axis
  --gene_y            STR   Gene ID(s) to be plotted on Y-axis 
  --gene_x_name       STR   Name of the gene to be plotted on X-axis 
  --gene_y_name       STR   Name of the gene to be plotted on Y-axis

--count_table_path specifies the full path to the expression data file

--gene_x specifies the geneID to be plotted in X-axis. The geneID should be enclosed in quotes, e.g.,"GeneA". If isoforms of the genes exist, multiple comma-separated geneIDs could also be provided, e.g., "GeneA1,GeneA2,GeneA3.."

--gene_y specifies the geneID to be plotted in Y-axis. The geneID should be enclosed in quotes, e.g.,"GeneB". If isoforms of the genes exist, multiple comma-separated geneIDs could also be provided, e.g., "GeneB1,GeneB2,GeneB3.."

--gene_x_namespecifies the name of the gene to be plotted in X-axis.

--gene_y_namespecifies the name of the gene to be plotted in Y-axis.

Reference

Choudhary N. & Pucker B. (2023). Conserved amino acid residues and gene expression patterns associated with the substrate preferences of the competing enzymes FLS and DFR. PLoS ONE 19(8): e0305837. doi: 10.1371/journal.pone.0305837.