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Reprogram-Seq leverages organ-specific cell atlas data with single-cell perturbation and computational analysis to predict, evaluate, and optimize TF combinations that reprogram a cell type of interest.
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<br>
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## Workflow
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## Code
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To reproduce figures:
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To reproduce results:
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- [Unbiased Reprogramming](https://jlduan.github.io/Reprogram-Seq/docs/unbiased_reprogramming.html)
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- [Rational Epicardial Reprogramming](https://jlduan.github.io/Reprogram-Seq/docs/rational_epicardial_reprogramming.html)
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- [Global Reprogramming of Transcription](https://jlduan.github.io/Reprogram-Seq/docs/global_reprogramming_of_transcription.html)
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- <https://jlduan.github.io/Reprogram-Seq>
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## Citation
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Jialei Duan#, Boxun Li#, Minoti Bhakta#, Shiqi Xie, Pei Zhou, Nikhil V. Munshi*, Gary C. Hon* (2019). **Rational Reprogramming of Cellular States by Combinatorial Perturbation.** _Cell Rep._ 27, 3486–3499.e6.<br/>
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Jialei Duan#, Boxun Li#, Minoti Bhakta#, Shiqi Xie, Pei Zhou, Nikhil V. Munshi*, Gary C. Hon* (2019). **Rational Reprogramming of Cellular States by Combinatorial Perturbation.** *Cell Rep.* 27, 3486–3499.e6.<br/>
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DOI: <http://dx.doi.org/10.1016/j.celrep.2019.05.079><br/>
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