Back

rNMPID: a database for riboNucleoside Mono-Phosphates In DNA

Yang, J.; Sun, M.; Ran, Z.; Yang, T.; Kundnani, D. L.; Storici, F.; Xu, P.

2023-11-17 bioinformatics
10.1101/2023.11.16.567417 bioRxiv
Show abstract

MotivationRibonucleoside monophosphates (rNMPs) are the most abundant non-standard nucleotides embedded in genomic DNA. If the presence of rNMP in DNA cannot be controlled, it can lead to genome instability. The actual positive functions of rNMPs in DNA remain mainly unknown. Considering the association between rNMPs embedment and various diseases and cancer, the phenomenon of rNMPs embedment in DNA has become a prominent area of research in recent years. ResultsWe introduce the rNMPID database, which is the first database revealing rNMP-embedment characteristics, strand bias, and preferred incorporation patterns in the genomic DNA of samples from bacterial to human cells of different genetic backgrounds. The rNMPID database uses datasets generated by different rNMP-mapping techniques. It provides the researchers with a solid foundation to explore the features of rNMPs embedded in the genomic DNA of multiple sources, and their association with cellular functions, and, in future, disease. It also significantly benefits researchers in the fields of genetics and genomics who aim to integrate their studies with the rNMP-embedment data. AvailabilityrNMPID is freely accessible on the web at https://www.rnmpid.org. Contactxph6113@gmail.com or storici@gatech.edu

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.