Gibbs Sampling and Bayesian Inference

Gibbs sampling is a form of Markov chain Monte Carlo (MCMC) sampling. MCMC has opened up the power of Bayesian statistics and thus has become very popular in the field of statistics; it is particularly applicable to genomics applications.

 References
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    Fickett JW (1996) Quantitative discrimination of MEF2 sites. Molecular and Cellular Biology 16: 437–441.
    Lawrence CE, Altschul S, Boguski M, et al. (1993) Detecting subtle sequence signals: a Gibbs sampling strategy for multiple alignment. Science 262: 208–214.
    Lawrence CE and Reilly AA (1990) An EM algorithm for the identification and characterization of common sites in unaligned biopolymer sequences. Proteins: Structure, Function and Genetics 7: 41–51.
    Lawrence CE and Reilly AA (1996) Likelihood inference for permuted data with application to gene regulation. Journal of the American Statistical Association 91(433): 76–85.
    Liu J (1994) The collapse gibbs sampler in bayesian computations with applications to a gene regulation problem. Journal of the American Statistical Association 89(427): 958.
    Liu J and Lawrence CE (1999) Bayesian inference on biopolymer models. Bioinformatics 15: 38–52.
    Liu J, Neuwald A and Lawrence CE (1995) Bayesian models for multiple local sequence alignment and Gibbs sampling strategies. Journal of the American Statistical Association 90(432): 1156–1170.
    Liu J, Neuwald A and Lawrence CE (1999) Markovian structures in biological sequence alignments. Journal of the American Statistical Association 94: 1–15.
    McCue LA, Thompson W, Carmack CS, et al. (2001) Phylogenetic footprinting of transcription factor binding sites in proteobacterial genomes. Nucleic Acids Research 29: 774–782.
    Neuwald AF, Liu J and Lawrence CE (1995) Gibbs motif sampling: detection of bacterial outer membrane protein repeats. Protein Science 4: 1618–1632.
    Neuwald AF, Liu J, Lipman D and Lawrence CE (1997) Extracting protein alignment models from the sequence database. Nucleic Acids Research 25: 1665–1677.
    Roth FP, Hughes JD, Estep PW and Church GM (1998) Finding DNA regulatory motifs within unaligned noncoding sequences clustered by whole-genome mRNA quantitation. Nature Biotechnology 16: 939–945.
    Wasserman WW, Palumbo M, Thompson W, Fickett JW and Lawrence CE (2000) Human–mouse genome comparison to locate human regulatory sites. Nature Genetics 26: 225–228.
 Web Links
    ePath Web servers and software for Gibbs sampling algorithms of this type are available from the following websites www.wadsworth.org/res&res/bioinfo
    ePath ftp.ncbi.nlm.nih.gov/pub/neuwald/
    ePath atlas.med.harvard.edu
    ePath copan.unam.mx/~jvanheld/rsa-tools/boiweb.pasteur.fr/
    ePath seqannal/interfaces/gibbs.html
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Lawrence, CE(Jan 2006) Gibbs Sampling and Bayesian Inference. In: eLS. John Wiley & Sons Ltd, Chichester. http://www.els.net [doi: 10.1038/npg.els.0005848]