Abstract: JASPAR is an open-access database that has provided high-quality, manually curated, and non-redundant DNA binding profiles for transcription factors (TFs) as position frequency matrices (PFMs) for over 20 years. We expanded the CORE and UNVALIDATED collections with new PFMs. We integrate the inMOTIFin software into JASPAR to easily simulate regulatory sequences using JASPAR PFMs. To enrich TFs’ annotations, we provide scientific literature-based human TF target information. Notably, this release features a Deep Learning (DL) collection, providing a paradigm shift in modeling and characterizing TF-DNA interactions. The JASPAR 2026 collections lay a foundation for future endeavors in genomic research, serving the scientific community in uncovering the mechanisms of gene regulation.
Host: Anthony Mathelier