TRRUST v2: an expanded reference database of human and mouse transcriptional regulatory interactions

Transcription factors (TFs) are major trans-acting factors in transcriptional regulation. Therefore, elucidating TF-target interactions is a key step toward understanding the regulatory circuitry underlying complex traits such as human diseases. We previously published a reference TF-target interaction database for humans-TRRUST (Transcriptional Regulatory Relationships Unraveled by Sentence-based Text mining)-which was constructed using sentence-based text mining, followed by manual curation. Here, we present TRRUST v2 (www.grnpedia.org/trrust) with a significant improvement from the previous version, including a significantly increased size of the database consisting of 8444 regulatory interactions for 800…

• NR
  National Research Foundation

  Award: 2017M3A9B4042581
• NR
  National Research Foundation of Korea

  Awards: Brain Korea 21 (BK21) PLUS program, 2017M3A9B4042581