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Volumn 5036 LNCS, Issue , 2008, Pages 232-243

Protein sequence motif discovery on distributed supercomputer

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; GRAPH THEORY; GRID COMPUTING; HYBRID COMPUTERS; PROBLEM SOLVING; RESOURCE ALLOCATION;

EID: 44649111456     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-68083-3_24     Document Type: Conference Paper
Times cited : (5)

References (20)
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  • 4
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    • Finding DNA regulatory motifs within unaligned noncoding sequences clustered by whole-genome mRNA quantitation
    • Roth, F.P., Hughes, J.D., Estep, P.W., Church, G.M.: Finding DNA regulatory motifs within unaligned noncoding sequences clustered by whole-genome mRNA quantitation. Nature Biotechnology 16(10), 939-945 (1998)
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  • 5
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    • Phylogibbs: A gibbs sampler incorporating phylogenetic information
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  • 6
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    • (2001) Pacific Symposium on Biocomputing , pp. 127-138
    • Liu, X.1    Liu, J.S.2    Brutlag, D.L.3
  • 8
    • 0031684427 scopus 로고    scopus 로고
    • Combinatorial pattern discovery in biological sequences: The TEIRESIAS algorithm
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    • Finding motifs in the twilight zone
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    • Fitting a mixture model by expectation maximization to discover motifs in biopolymers
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.