A new study published this week in Nature Communications has demonstrated a new method for predicting the representation of transcription factor binding sequences. Transcription factors are proteins that regulate gene expression, and understanding how they bind to DNA can help scientists gain insight into gene regulation and expression. By using a combination of deep learning and biochemical data, the researchers were able to develop a model for predicting transcription factor binding sites from raw sequence data. This new approach could provide a powerful new tool for studying gene regulation and expression.

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source: Phys.org