We describe a sequence + shape kernel that leverages DNA sequence and shape information to better understand protein-DNA binding preference and affinity.
We describe a sequence + shape kernel that leverages DNA sequence and shape information to better understand protein-DNA binding preference and affinity.
May 24, 2017 · Motivation: Transcription factors (TFs) bind to specific DNA sequence motifs. Several lines of evi- dence suggest that TF-DNA binding is ...
A sequence+shape kernel is described that leverages DNA sequence and shape information to better understand protein-DNA binding preference and affinity and ...
Results We describe a sequence+shape kernel that leverages DNA sequence and shape information to better understand protein-DNA binding preference and affinity.
DNA sequence+shape kernel enables alignment-free modeling of transcription factor binding https://t.co/9kP5IZDRR0.
(PDF) DNA sequence+shape kernel enables alignment-free ...
www.researchgate.net › publication › 31...
Several methods have been developed to jointly account for DNA sequence and shape properties in predicting TF binding affinity. However, a limitation of these ...
People also ask
How does the structure of DNA relate to transcription factor binding?
What is the sequence of DNA to which a transcription factor binds?
What is DNA-binding transcription factor?
What is sequence-specific binding of transcription factors?
DNA sequence+shape kernel enables alignment-free modeling of transcription factor binding ; Journal: Bioinformatics, 2017, № 19, p. 3003-3010 ; Publisher: Oxford ...
We describe a sequence + shape kernel that leverages DNA sequence and shape information to better understand protein-DNA binding preference and affinity. This ...
DNA sequence+shape kernel enables alignment-free modeling of transcription factor binding. Overview of attention for article published in Bioinformatics, May ...