Detecting subtle sequence signals: a Gibbs sampling strategy for multiple alignment.

@article{Lawrence1993DetectingSS,
  title={Detecting subtle sequence signals: a Gibbs sampling strategy for multiple alignment.},
  author={C. Lawrence and S. Altschul and M. Boguski and J. Liu and A. F. Neuwald and J. Wootton},
  journal={Science},
  year={1993},
  volume={262 5131},
  pages={
          208-14
        }
}
A wealth of protein and DNA sequence data is being generated by genome projects and other sequencing efforts. A crucial barrier to deciphering these sequences and understanding the relations among them is the difficulty of detecting subtle local residue patterns common to multiple sequences. Such patterns frequently reflect similar molecular structures and biological properties. A mathematical definition of this "local multiple alignment" problem suitable for full computer automation has been… Expand
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