ChIPBase

ChIPBase v3.0 is a comprehensive database that serves as an encyclopedia of transcriptional regulations of non-coding RNAs and protein-coding genes. It is an invaluable resource for researchers and scientists in the field of genomics and molecular biology. The database is designed to provide a detailed and in-depth analysis of regulatory relationships between genes and regulators, offering a wealth of information that can be used to understand complex biological processes. The core functionality of ChIPBase v3.0 lies in its ability to analyze a vast amount of ChIP-seq datasets, which are used to identify regulatory relationships between genes and regulators. By processing over 55,000 ChIP-seq datasets, ChIPBase v3.0 has identified approximately 151,187,000 regulatory relationships between around 171,600 genes and 3,000 regulators. This is a significant expansion compared to previous versions, providing a more comprehensive view of gene regulation. One of the standout features of ChIPBase v3.0 is its de novo identification of around 29,000 motif matrices of transcription factors. This allows researchers to gain insights into the binding preferences of these transcription factors, which can be crucial for understanding gene regulation. Additionally, the database has constructed a novel "Enhancer" module that predicts regulation regions functioning as poised, active, or super enhancers under various conditions. This module can be particularly useful for studying enhancer dynamics and their role in gene regulation. ChIPBase v3.0 also integrates expression profiles from ∼65,000 normal and ∼15,000 tumor samples to construct exhaustive coexpression maps between regulators and their target genes. This feature is particularly valuable for researchers studying the effects of gene