scMEGA: Single-cell Multiomic Enhancer-based Gene Regulatory Network Inference

Li, Z.; Nagai, J.; Kuppe, C.; Kramann, R.; Filho, I. G. C.

doi:10.1101/2022.08.10.503335

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bioRxiv · 10.1101/2022.08.10.503335

scMEGA: Single-cell Multiomic Enhancer-based Gene Regulatory Network Inference

Li, Z.·Nagai, J.·Kuppe, C.·Kramann, R.·Filho, I. G. C.

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Abstract

The increasing availability of single-cell multi-omics data allows to quantitatively characterize gene regulation. We here describe scMEGA (Single-cell Multiomic Enhancer-based Gene Regulatory Network Inference) to infer gene regulatory networks by combining single-cell gene expression and chromatin accessibility profiles. This enables to study of complex gene regulation mechanisms for dynamic biological processes, such as cellular differentiation and disease-driven cellular remodeling. We provide a case study on gene regulatory networks controlling myofibroblast activation in human myocardial infarction

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Li, Z., Nagai, J., Kuppe, C., Kramann, R., Filho, I. G. C.. 2022-08-13. scMEGA: Single-cell Multiomic Enhancer-based Gene Regulatory Network Inference. https://doi.org/10.1101/2022.08.10.503335

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