PYangLab / PAD

PAD (Proximal and Distal) clustering

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PAD (Proximal and Distal) clustering

Authors: Pengyi Yang, Andrew Oldfield, Taiyun Kim*, Andrian Yang*, Jean Yee Hwa Yang, Joshua W.K. Ho

* Developer of website

Contact: j.ho@victorchang.edu.au and pengyi.yang@sydney.edu.au

Copyright © 2017, Victor Chang Cardiac Research Institute; School of Mathematics and Statistics, University of Sydney.

Synopsis

PAD clustering is a web resource to identify co-localization sites of binding sites at regions proximal and distal regions to gene promoters.

Requirements

  • Python v2.7
  • MySQl v5.7.10
  • MySQL-python v1.2.5
  • Django v1.9
  • django-crispy-forms v1.6.0
  • django-multiupload v0.5
  • numpy v1.10.4
  • plotly v1.9.5
  • pybedtools v0.7.5
  • bedtools v2.25.0
  • scipy v0.17.0

Instruction

Setup; Please find TF peak files in Data folder for download.

Reference

Yang, P., Oldfield, A., Taiyun, K., Yang, A., Yang, J., Ho, J. (2017). Integrative analysis identifies co-dependent gene expression regulation of BRG1 and CHD7 at distal regulatory sites in embryonic stem cells. Bioinformatics, 33(3), 1916-1920.

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PAD (Proximal and Distal) clustering

License:GNU General Public License v3.0


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