Application implementing the Wimtrap method to predict in different plant species the Cis-Acting Regulatory Elements and gene targets of transcription factors. The method inttegrates condition-independent and condition-depentdent genomic features at location of motif occurrences and makes use of TF-ChIP data to build predictive models based on supervised machine learning. Condition -independent genomic features are typicall the results of pattern-matching, the location on the genome and the conservation of the sequence. Condition-dependent genomic features include transcription factor footprints and variables related to the chromatin state.
Package details |
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Maintainer | |
License | GPL (>= 2) |
Version | 0.0.0.9000 |
URL | https://github.com/RiviereQuentin/WimtrapWeb |
Package repository | View on GitHub |
Installation |
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