Technical Note on Transcription Factor Motif Discovery from Importance Scores (TF-MoDISco) version 0.5.6.5
Avanti Shrikumar, Katherine Tian, Žiga Avsec, Anna Shcherbina, Abhimanyu Banerjee, Mahfuza Sharmin, Surag Nair, Anshul Kundaje
arXiv:1811.00416v5191 citationsHas Code
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This is an incremental update to a domain-specific tool for bioinformatics researchers.
The paper presents TF-MoDISco version 0.5.6.5, an algorithm for identifying transcription factor motifs from importance scores on genomic sequences, with the implementation made available on GitHub.
TF-MoDISco (Transcription Factor Motif Discovery from Importance Scores) is an algorithm for identifying motifs from basepair-level importance scores computed on genomic sequence data. This technical note focuses on version v0.5.6.5. The implementation is available at https://github.com/kundajelab/tfmodisco/tree/v0.5.6.5