Functional annotation of enzyme encoding genes using deep learning with transformer layers

Supplementary datasets for the paper "Improved annotation of enzyme encoding genes using deep learning with transformer layers".

The datasets include Supplementary Data 1 (Predicted EC numbers for protein sequences from Swiss-Prot database using DeepECtransformer), Supplementary Data 2 (Visualization of the latent representations of enzyme sequences in the Swiss-Prot database using TMAP), Supplementary Data 3 (Commonly highlighted motifs for each EC number using DeepEC v2 neural network), Supplementary Data 4 (Sequences for each of strain specific alleles), Supplementary Data 5 (EC number prediction results for the y-ome proteins), and Supplementary Data 6 (EC numbers of 128,100,490 protein sequences in 70,600 genomes in NCBI).