메뉴 건너뛰기




Volumn 6444 LNCS, Issue PART 2, 2010, Pages 217-225

iGAPK: Improved GAPK algorithm for regulatory DNA motif discovery

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM DEVELOPMENT; BACKGROUND FILTERING; BENCHMARK DATASETS; COMPARATIVE STUDIES; DATA SETS; DNA MOTIF; EVOLUTIONARY COMPUTATIONS; FITNESS FUNCTIONS; GENE REGULATIONS; MODEL MISMATCH; MODEL REFINEMENT; MOTIF DISCOVERY; MOTIF MODEL; ORTHOLOGS; RESEARCH AREAS; RULE BASED SYSTEM; TECHNICAL CONTRIBUTION; TECHNICAL IMPROVEMENT; TRANSCRIPTION FACTOR BINDING SITES;

EID: 78650201791     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-17534-3_27     Document Type: Conference Paper
Times cited : (5)

References (15)
  • 1
    • 26444584579 scopus 로고    scopus 로고
    • Limitations and potentials of current motif discovery algorithms
    • Hu, J., Li, B., Kihara, D.: Limitations and potentials of current motif discovery algorithms. Nucleic Acids Res. 33, 4899-4913 (2005)
    • (2005) Nucleic Acids Res. , vol.33 , pp. 4899-4913
    • Hu, J.1    Li, B.2    Kihara, D.3
  • 2
    • 0029144601 scopus 로고
    • Gibbs motif sampling: Detection of bacterial outer membrane protein repeats
    • Neuwald, A.F., Liu, J.S., Lawrence, C.E.: Gibbs motif sampling: detection of bacterial outer membrane protein repeats. Protein Science 4, 1618-1632 (1995)
    • (1995) Protein Science , vol.4 , pp. 1618-1632
    • Neuwald, A.F.1    Liu, J.S.2    Lawrence, C.E.3
  • 3
    • 0002759539 scopus 로고
    • Unsupervised learning of multiple motifs in biopolymers using EM
    • Bailey, T.L., Elkan, C.: Unsupervised learning of multiple motifs in biopolymers using EM. Machine Learning 21, 51-80 (1995)
    • (1995) Machine Learning , vol.21 , pp. 51-80
    • Bailey, T.L.1    Elkan, C.2
  • 4
    • 21144439147 scopus 로고    scopus 로고
    • Assessing computational tools for the discovery of transcription factor binding sites
    • Tompa, M., Li, N., Bailey, T.L., et al.: Assessing computational tools for the discovery of transcription factor binding sites. Nature Biotechnology 23, 137-144 (2005)
    • (2005) Nature Biotechnology , vol.23 , pp. 137-144
    • Tompa, M.1    Li, N.2    Bailey, T.L.3
  • 5
    • 0029197507 scopus 로고
    • The value of prior knowledge in discovering motifs with MEME
    • Bailey, T.L., Elkan, C.P.: The value of prior knowledge in discovering motifs with MEME. Intell. Sys. Mol. Bilo. 3, 21-29 (1995)
    • (1995) Intell. Sys. Mol. Bilo. , vol.3 , pp. 21-29
    • Bailey, T.L.1    Elkan, C.P.2
  • 6
    • 34447340240 scopus 로고    scopus 로고
    • GAPWM: A genetic algorithm method for optimizing a position weight matrix
    • Li, L.P., Liang, Y., Bass, R.L.L.: GAPWM: a genetic algorithm method for optimizing a position weight matrix. Bioinformatics 23, 1188-1194 (2007)
    • (2007) Bioinformatics , vol.23 , pp. 1188-1194
    • Li, L.P.1    Liang, Y.2    Bass, R.L.L.3
  • 7
    • 0344906814 scopus 로고    scopus 로고
    • Combining phylogenetic data with co-regulated genes to identify regulatory motifs
    • Wang, T., Stormo, G.D.: 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
  • 8
    • 77952825582 scopus 로고    scopus 로고
    • Localized motif discovery in gene regulatory sequences
    • Narang, V., Mittal, A., Sung, W.-K.: Localized motif discovery in gene regulatory sequences. Bioinformatics 26, 1152-1159 (2010)
    • (2010) Bioinformatics , vol.26 , pp. 1152-1159
    • Narang, V.1    Mittal, A.2    Sung, W.-K.3
  • 9
    • 33745611139 scopus 로고    scopus 로고
    • GAME: Detecting cis-regulatory elements using a genetic algorithm
    • Wei, Z., Jensen, S.T.: GAME: detecting cis-regulatory elements using a genetic algorithm. Bioinformatics 22, 1577-1584 (2006)
    • (2006) Bioinformatics , vol.22 , pp. 1577-1584
    • Wei, Z.1    Jensen, S.T.2
  • 10
    • 38849109559 scopus 로고    scopus 로고
    • TFBS identification based on genetic algorithm with combined representations and adaptive post-processing
    • Chan, T.-M., Leung, K.-S., Lee, K.-H.: TFBS identification based on genetic algorithm with combined representations and adaptive post-processing. Bioinformatics 24, 341-349 (2008)
    • (2008) Bioinformatics , vol.24 , pp. 341-349
    • Chan, T.-M.1    Leung, K.-S.2    Lee, K.-H.3
  • 12
    • 70349095509 scopus 로고    scopus 로고
    • MISCORE: Mismatch-based matrix similarity scores for DNA motif detection
    • Köppen, M., Kasabov, N., Coghill, G. (eds.) ICONIP 2008. Springer, Heidelberg
    • Wang, D.H., Lee, N.K.: MISCORE: mismatch-based matrix similarity scores for DNA motif detection. In: Köppen, M., Kasabov, N., Coghill, G. (eds.) ICONIP 2008. LNCS, vol. 5506, pp. 478-485. Springer, Heidelberg (2009)
    • (2009) LNCS , vol.5506 , pp. 478-485
    • Wang, D.H.1    Lee, N.K.2
  • 14
    • 0032032780 scopus 로고    scopus 로고
    • Specificity, free energy and information content in protein-DNA interactions
    • Stormo, G.D., Fields, D.S.: Specificity, free energy and information content in protein-DNA interactions. Trends in Biochemical Sciences 23, 109-113 (1998)
    • (1998) Trends in Biochemical Sciences , vol.23 , pp. 109-113
    • Stormo, G.D.1    Fields, D.S.2
  • 15
    • 0036137323 scopus 로고    scopus 로고
    • A higher-order background model improves the detection of promoter regulatory elements by Gibbs sampling
    • Thijs, G., Lescot, M., Marchal, K., Rombauts, S., De Moor, B., Rouzé, P., Moreau, Y.: A higher-order background model improves the detection of promoter regulatory elements by Gibbs sampling. Bioinformatics 17, 1113-1122 (2001)
    • (2001) Bioinformatics , vol.17 , pp. 1113-1122
    • Thijs, G.1    Lescot, M.2    Marchal, K.3    Rombauts, S.4    De Moor, B.5    Rouzé, P.6    Moreau, Y.7


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.