# Variable calling of m6A and associated features in databases: a guide for end-users

## TL;DR

This paper reviews m6A databases and warns that differences in data processing can lead to unreliable results if users are unaware of these issues.

## Contribution

The paper highlights variability in m6A peak calling across databases and warns of potential false positives/negatives from outdated methods.

## Key findings

- Differences in peak-calling pipelines lead to variability in peak numbers and coordinates.
- Early m6A sequencing protocols may introduce false positives or negatives.
- End-users should be aware of database limitations to avoid unreliable data.

## Abstract

N6-methyladenosine (m\documentclass[12pt]{minimal}
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$^{6}$\end{document}A) is a widely-studied methylation to messenger RNAs, which has been linked to diverse cellular processes and human diseases. Numerous databases that collate m\documentclass[12pt]{minimal}
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$^{6}$\end{document}A profiles of distinct cell types have been created to facilitate quick and easy mining of m\documentclass[12pt]{minimal}
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$^{6}$\end{document}A signatures associated with cell-specific phenotypes. However, these databases contain inherent complexities that have not been explicitly reported, which may lead to inaccurate identification and interpretation of m\documentclass[12pt]{minimal}
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$^{6}$\end{document}A-associated biology by end-users who are unaware of them. Here, we review various m\documentclass[12pt]{minimal}
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$^{6}$\end{document}A-related databases, and highlight several critical matters. In particular, differences in peak-calling pipelines across databases drive substantial variability in both peak number and coordinates with only moderate reproducibility, and the inclusion of peak calls from early m\documentclass[12pt]{minimal}
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$^{6}$\end{document}A sequencing protocols may lead to the reporting of false positives or negatives. The awareness of these matters will help end-users avoid the inclusion of potentially unreliable data in their studies and better utilize m\documentclass[12pt]{minimal}
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$^{6}$\end{document}A databases to derive biologically meaningful results.