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Volumn , Issue , 2009, Pages 970-978

Clustering sequence sets for motif discovery

Author keywords

[No Author keywords available]

Indexed keywords

DNA; DNA SEQUENCES; SET THEORY;

EID: 84863346938     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (2)

References (21)
  • 1
    • 0034072450 scopus 로고    scopus 로고
    • DNA binding sites: Representation and discovery
    • G. D. Stormo. DNA binding sites: representation and discovery. Bioinformatics, 16:16-23, 2000.
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    • Stormo, G.D.1
  • 2
    • 1842584947 scopus 로고    scopus 로고
    • Applied bioinformatics for the identification of regulatory elements
    • W. W. Wasserman and A. Sandelin. Applied bioinformatics for the identification of regulatory elements. Nature Review Genetics, 5:276-287, 2004.
    • (2004) Nature Review Genetics , vol.5 , pp. 276-287
    • Wasserman, W.W.1    Sandelin, A.2
  • 7
    • 0027912333 scopus 로고
    • Detecting subtle sequence signals: A gibbs sampling strategy for multiple alignment
    • C. E. Lawrence, S. F. Altschul, M. S. Boguski, J. S. Liu, A. F. Neuwald, and J. C. Wootton. Detecting subtle sequence signals: a Gibbs sampling strategy for multiple alignment. Science, 262:208-214, 1993.
    • (1993) Science , vol.262 , pp. 208-214
    • Lawrence, C.E.1    Altschul, S.F.2    Boguski, M.S.3    Liu, J.S.4    Neuwald, A.F.5    Wootton, J.C.6
  • 13
    • 34250159524 scopus 로고    scopus 로고
    • Genome-wide mapping of in vivo protein-DNA interactions
    • D. S. Johnson, A. Mortazavi, R. M. Myers, and B. Wold. Genome-wide mapping of in vivo protein-DNA interactions. Science, 316:1497-1502, 2007.
    • (2007) Science , vol.316 , pp. 1497-1502
    • Johnson, D.S.1    Mortazavi, A.2    Myers, R.M.3    Wold, B.4
  • 15
    • 33846223503 scopus 로고    scopus 로고
    • Igibbs: Improving gibbs motif sampler for proteins by sequence clustering and iterative pattern sampling
    • S. Kim, Z. Wang, and M. Dalkilic. igibbs: improving gibbs motif sampler for proteins by sequence clustering and iterative pattern sampling. Proteins, 66:671-681, 2007.
    • (2007) Proteins , vol.66 , pp. 671-681
    • Kim, S.1    Wang, Z.2    Dalkilic, M.3
  • 16
    • 0031787969 scopus 로고    scopus 로고
    • Finding DNA regulatory motifs within unaligned noncoding sequences clustered by whole-genome mRNA quantitation
    • F. P. Roth, J. D. Hughes, P. W. Estep, and G. M. Church. Finding DNA regulatory motifs within unaligned noncoding sequences clustered by whole-genome mRNA quantitation. Nature Biotechnology, 16:939-945, 1998.
    • (1998) Nature Biotechnology , vol.16 , pp. 939-945
    • Roth, F.P.1    Hughes, J.D.2    Estep, P.W.3    Church, G.M.4
  • 17
    • 0036324753 scopus 로고    scopus 로고
    • An algorithm for finding protein-DNA binding sites with applications to chromatin-immunoprecipitation microarray experiments
    • X. S. Liu, D. L. Brutlag, and J. S. Liu. An algorithm for finding protein-DNA binding sites with applications to chromatin-immunoprecipitation microarray experiments. Nature Biotechnology, 20:835-839, 2002.
    • (2002) Nature Biotechnology , vol.20 , pp. 835-839
    • Liu, X.S.1    Brutlag, D.L.2    Liu, J.S.3
  • 19
    • 0344906814 scopus 로고    scopus 로고
    • Combining phylogenetic data with co-regulated genes to identify regulatory motifs
    • T. Wang and G. D. Stormo. Combining phylogenetic data with co-regulated genes to identify regulatory motifs. Bioinformatics, 19:2369-2380, 2003.
    • (2003) Bioinformatics , vol.19 , pp. 2369-2380
    • Wang, T.1    Stormo, G.D.2
  • 20
    • 13244260826 scopus 로고    scopus 로고
    • PhyME: A probabilistic algorithm for finding motifs in sets of orthologous sequences
    • S. Sinha, M. Blanchette, and M. Tompa. PhyME: a probabilistic algorithm for finding motifs in sets of orthologous sequences. BMC Bioinformatics, 5:170, 2004.
    • (2004) BMC Bioinformatics , vol.5 , pp. 170
    • Sinha, S.1    Blanchette, M.2    Tompa, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.