1. Computational tools for identifying RNA modification sites:

(1) m6A sites

iRNA-Methyl: a computational methods for identifying m6A sites in Saccharomyces cerevisiae.

m6Apred: a computational methods for identifying m6A sites in Saccharomyces cerevisiae.

MethyRNA: a computational methods for identifying m6A sites in Homo sapiens, Mus musculus.

iRNA(m6A)-PseDNC: a computational methods for identifying m6A sites in Saccharomyces cerevisiae, which is an updated version of iRNA-Methyl.

(2) ψ

iRNA-PseU: a computational methods for identifying the ψ sites in Homo sapiens, Mus musculus, Saccharomyces cerevisiae.

(3) Adenosine to Inosine

iRNA-AI: a computational methods for identifying Adenosine to Inosine editing sites in Homo sapiens.

(4) 2'-O-Methylation

iRNA-2OM: a computational methods for identifying 2'-O-methylation sites in Homo sapiens.

(5) 5-methylcytosine

iRNA-m5C: a computational methods for identifying the 5-methylcytosine sites in Homo sapiens, Mus musculus, Saccharomyces cerevisiae.

2. Modomics: a database presents RNA modification pathways on the level of nucleosides.

3. RNApathwaysDB: a databases deals with RNA metabolism with respect to whole RNA molecules.

4. RMBase: a database integrates epitranscriptome sequencing data for the exploration of post-transcriptional modifications of RNAs and their relationships with miRNA binding events, disease-related single-nucleotide polymorphisms (SNPs) and RNA-binding proteins (RBPs).

5. M6A2Target: a comprehensive database for targets of m6A writers, erasers and readers.

6. m6A-Atlas: a comprehensive knowledgebase for unraveling the N6-methyladenosine (m6A) epitranscriptome.

7. Whistle: a high-accuracy map of the human N6-methyladenosine (m6A) epitranscriptome predicted using a machine learning approach.

8. m5C-Atlas: a comprehensive database for decoding and annotating the 5-methylcytosine (m5C) epitranscriptome.