Predicting Human Nucleosome Occupancy from DNA Sequence
Author Information
Author(s): Shobhit Gupta, Jonathan Dennis, Robert E. Thurman, Robert Kingston, John A. Stamatoyannopoulos, William Stafford Noble
Primary Institution: University of Washington
Hypothesis
Can a computational model predict nucleosome positioning based on DNA sequence?
Conclusion
The study successfully predicts nucleosome occupancy in human DNA using a computational model trained on sequence data.
Supporting Evidence
- The model trained on human data correlates strongly with models trained on yeast data.
- Nucleosome-forming sequences were identified as rich in GC base pairs.
- The study found that nucleosome positioning is influenced by short genomic sequences.
Takeaway
This study created a computer program that can guess where nucleosomes are likely to be on DNA based on the DNA's sequence.
Methodology
The study used microarray data and trained a support vector machine (SVM) to predict nucleosome positions based on DNA sequences.
Potential Biases
Potential bias from probe hybridization artifacts was considered but not found to significantly affect results.
Limitations
The model may not account for all factors influencing nucleosome positioning, such as epigenetic modifications.
Statistical Information
P-Value
0.01
Statistical Significance
p<0.01
Digital Object Identifier (DOI)
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