Statistical extraction of Drosophila cis-regulatory modules using exhaustive assessment of local word frequency

@article{Nazina2003StatisticalEO,
  title={Statistical extraction of Drosophila cis-regulatory modules using exhaustive assessment of local word frequency},
  author={Anna G. Nazina and Dmitri A. Papatsenko},
  journal={BMC Bioinformatics},
  year={2003},
  volume={4},
  pages={65 - 65}
}
BackgroundTranscription regulatory regions in higher eukaryotes are often represented by cis-regulatory modules (CRM) and are responsible for the formation of specific spatial and temporal gene expression patterns. These extended, ~1 KB, regions are found far from coding sequences and cannot be extracted from genome on the basis of their relative position to the coding regions.ResultsTo explore the feasibility of CRM extraction from a genome, we generated an original training set, containing… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 41 REFERENCES

Strategies and tools for whole-genome alignments.

VIEW 2 EXCERPTS

Algorithms for Phylogenetic Footprinting

Exploiting transcription factor binding site clustering to identify cis-regulatory modules involved in pattern formation in the Drosophila genome.

VIEW 2 EXCERPTS