AGRP

We systemically compared TF/TR classification rules used in different databases, and derived a set of consensus rules based on the available literature for accurate plant TF/TR identification and classification. For plant PKs, we directly used the HMM profiles developed by Lehti-Shiu and Shiu (2012) to provide a comprehensive classification system. These consensus rules for TF/TR classification and HMM profiles for PK classification were implemented in iTAK, a computational program that provides consistency and uniformity on the identification and classification of plant TFs, TRs, and PKs. We utilized iTAK to predict 70 transcription factor families, 24 transcription regulatory factor families, and 129 protein kinase families across 53 Asteraceae species and 6 outgroups. Detailed sequence information for these proteins was obtained via Pfam, yielding a total of 262,108 transcription regulators/transcription factors and protein kinases.