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TOP paper resources

This is a companion website to the TOP package and contains the data resources and data processing pipelines for the TOP paper.

Reference

  • Luo K, Zhong J, Safi A, Hong LK, Tewari AK, Song L, Reddy TE, Ma L, Crawford GE, Hartemink AJ. Profiling the quantitative occupancy of myriad transcription factors across conditions by modeling chromatin accessibility data. Genome Res. 2022 Jun;32(6):1183-1198. doi: 10.1101/gr.272203.120.

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All source code and software in this repository are made available under the terms of the MIT license.

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