DeepM6ASeq: prediction and characterization of m6A-containing sequences using deep learning

Yiqian Zhang, Michiaki Hamada

BMC Bioinformatics · 2018 · 154 citations · 31 references

DOIFull text

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Abstract

We developed a deep-learning-based framework to predict and characterize m6A-containing sequences and hope to help investigators to gain more insights for m6A research. The source code is available at https://github.com/rreybeyb/DeepM6ASeq .

References

31