Virtual ChIP-seq: predicting transcription factor binding by learning from the transcriptome

Existing methods for computational prediction of transcription factor (TF) binding sites evaluate genomic regions with similarity to known TF sequence preferences. Most TF binding sites, however, do not resemble known TF sequence motifs, and many TFs are not sequence-specific. We developed Virtual C...

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Detalles Bibliográficos
Autores principales: Karimzadeh, Mehran, Hoffman, Michael M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185870/
https://www.ncbi.nlm.nih.gov/pubmed/35681170
http://dx.doi.org/10.1186/s13059-022-02690-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185870/
https://www.ncbi.nlm.nih.gov/pubmed/35681170
http://dx.doi.org/10.1186/s13059-022-02690-2

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