PriMirDB   Database of Pri‑miRNA Processing Efficiency Predictions


PriMirDB database

The PriMirDB database presents model-based predictions for 1) efficiency of pri-miRNA processing; 2) SNP-induced changes in the efficiency of pri-miRNA processing; and 3) processing efficiency of non-miRNA DROSHA substrates.

References

Christine Roden, Dingyao Zhang, William Rennie, Yang Liu, Shaveta Kanoria, Jonathan Gaillard, Jihong Tang, Syndi Barish, Vadim Kurbatov, Marissa Holmbeck, Ying Zhu, Hussein Mohsen, Poorval Joshi, Stephanie Halene, Hongyu Zhao, Mark Gerstein, Ye Ding and Jun Lu (2024) Quantitative modeling of mammalian primary microRNA processing reveals roles of hairpin-flanking sequences.

Christine Roden, Jonathan Gaillard, Shaveta Kanoria, William Rennie, Syndi Barish, Jijun Cheng, Wen Pan, Jun Liu, Chris Cotsapas, Ye Ding and Jun Lu (2017) Novel determinants of mammalian primary microRNA processing revealed by systematic evaluation of hairpin-containing transcripts and human genetic variation Genome Res. 27 (1) doi: 10.1101/gr.208900.116. PMID: 28087842; PMCID: PMC5340965.

Yale School of Medicine NIH Grant R01GM138856
Comments or questions? Email: primirdb@gmail.com