Here we will demonstrate the application of several tools we hope will help with modeling biological sequences. We make available pretrained CNN protein sequence masked language models of various ...

1): first, it analyzes protein sequence redundancies and generates ... protein databases represent splice variants (Supplementary Table 2), we expect that such a classification will become ...

min-num-consec PEP_COUNT Minimum number of consecutive sub-peptide sequences. Default 3 -g GAP_COUNT, --max-num-gaps GAP_COUNT Maximum number of unspecified, internal sub-peptides; gaps of sub-peptide ...

Here, we introduce a general-purpose diffusion framework, EvoDiff, that combines evolutionary-scale data with the distinct conditioning capabilities of diffusion models for controllable protein ...

Affected clusters: number of clusters with misclassified sequences. Misclassifications: total number of misclassified sequences. FASTA Herder takes a protein set in FASTA file format and quickly ...