Table 2 Databases for predicting m⁶A-modified circRNAs

Ensembl

http://rapid.ensembl.org

It is a genome browser can be used to identify m⁶A modification sites with the RRACH motif

Howe et al. (2021)

Circm6A

https://github.com/canceromics/circm6a

It is a powerful tool for detecting m⁶A modification of circRNA

Ye et al. (2021)

TransCirc

https://www.biosino.org/transcirc/

It is a database that mainly predict translatable circRNA and circRNA m⁶A modification sites

Huang et al. (2021)

SRAMP

http://www.cuilab.cn/sramp

It can extract and integrate the sequence and predict structural features around m⁶A sites

Zhou et al. (2016)

RMVar

http://m6avar.renlab.org

It can be used to search for m⁶A-associated variants and diseases

Luo et al. (2021)

RMBase V2.0

http://rna.sysu.edu.cn/rmbase

It is a comprehensive database for exploring post-transcriptionally modifications of RNAs and their relationships with microRNA binding events, disease-related SNPs, and RBPs

Xuan et al. (2018)

circBank

www.circbank.cn

It is a comprehensive database for predicting circRNAs with miRNA binding sites, protein coding potential, conservations, mutations, and m⁶A modifications

Liu et al. 2019)

DeepM6ASeq

https://github.com/rreybeyb/DeepM6ASeq

It is a deep-learning-based framework to predict m⁶A-containing sequences and visualize saliency map for sequences

Zhang and Hamada (2018)

m6A2Target

http://m6a2target.canceromics.org/#/home

It is a comprehensive database for the target gene of writers, erasers and readers of m⁶A modification

Deng et al. (2021)