Motif Discovery
Mostrando 1-12 de 70 artigos, teses e dissertações.
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1. Soluções aproximadas para algoritmos escaláveis de mineração de dados em domínios de dados complexos usando GPGPU / On approximate solutions to scalable data mining algorithms for complex data problems using GPGPU
The increasing availability of data in diverse domains has created a necessity to develop techniques and methods to discover knowledge from huge volumes of complex data, motivating many research works in databases, data mining and information retrieval communities. Recent studies have suggested that searching in complex data is an interesting research field
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 22/09/2011
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2. Perspectivas analiticas e interpretativas na obra para piano de Arnold Schonberg
This thesis, presented to the Fine Arts Post Graduate Program of the University of Campinas / UNICAMP, intended to fulfill part of the requirements for obtaining the Master in Fine Arts, in the field of Music. With the title Analytic and Interpretive Perspectives in Arnold Schönberg Piano Oeuvre and composed of a single volume, brings five chapters dedicate
Publicado em: 2005
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3. CisModule: De novo discovery of cis-regulatory modules by hierarchical mixture modeling
The regulatory information for a eukaryotic gene is encoded in cis-regulatory modules. The binding sites for a set of interacting transcription factors have the tendency to colocalize to the same modules. Current de novo motif discovery methods do not take advantage of this knowledge. We propose a hierarchical mixture approach to model the cis-regulatory mod
National Academy of Sciences.
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4. MotifViz: an analysis and visualization tool for motif discovery
Detecting overrepresented known transcription factor binding motifs in a set of promoter sequences of co-regulated genes has become an important approach to deciphering transcriptional regulatory mechanisms. In this paper, we present an interactive web server, MotifViz, for three motif discovery programs, Clover, Rover and Motifish, covering most available f
Oxford University Press.
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5. FoldMiner and LOCK 2: protein structure comparison and motif discovery on the web
The FoldMiner web server (http://foldminer.stanford.edu/) provides remote access to methods for protein structure alignment and unsupervised motif discovery. FoldMiner is unique among such algorithms in that it improves both the motif definition and the sensitivity of a structural similarity search by combining the search and motif discovery methods and usin
Oxford University Press.
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6. Comprehensive quantitative analyses of the effects of promoter sequence elements on mRNA transcription
We have generated a WWW interface for automated comprehensive analyses of promoter regulatory motifs and the effect they exert on mRNA expression profiles. The server provides a wide spectrum of analysis tools that allow de novo discovery of regulatory motifs, along with refinement and in-depth investigation of fully or partially characterized motifs. The pr
Oxford University Press.
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7. Bipartite pattern discovery by entropy minimization-based multiple local alignment
Many multimeric transcription factors recognize DNA sequence patterns by cooperatively binding to bipartite elements composed of half sites separated by a flexible spacer. We developed a novel bipartite algorithm, bipartite pattern discovery (Bipad), which produces a mathematical model based on information maximization or Shannon's entropy minimization princ
Oxford University Press.
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8. Discovering Novel cis-Regulatory Motifs Using Functional Networks
We combined functional information such as protein–protein interactions or metabolic networks with genome information in Saccaromyces cerevisiae to predict cis-regulatory motifs in the upstream region of genes. We developed a new scoring metric combining these two information sources and used this metric in motif discovery. To estimate the statistical sign
Cold Spring Harbor Laboratory Press.
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9. Detecting DNA regulatory motifs by incorporating positional trends in information content
On the basis of the observation that conserved positions in transcription factor binding sites are often clustered together, a simple extension to the model-based motif discovery method is proposed. Examples with both simulated and real data show that this extension helps discover motifs as the data become noisier or when there is a competing false motif.
BioMed Central.
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10. The Spin/Ssty repeat: a new motif identified in proteins involved in vertebrate development from gamete to embryo
Spin/Ssty genes might be important in the transition from sperm cells and oocytes to the early embryo. The discovery of a new protein motif of around 50 amino acids in length, the Spin/Ssty repeat is reported. Each repeat resides in its own exon, supporting the view that Spin/Ssty repeats are independent functional units.
BioMed Central.
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11. Integrating regulatory motif discovery and genome-wide expression analysis
We propose motif regressor for discovering sequence motifs upstream of genes that undergo expression changes in a given condition. The method combines the advantages of matrix-based motif finding and oligomer motif-expression regression analysis, resulting in high sensitivity and specificity. motif regressor is particularly effective in discovering expressio
The National Academy of Sciences.
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12. Dissection of the LXXLL Nuclear Receptor-Coactivator Interaction Motif Using Combinatorial Peptide Libraries: Discovery of Peptide Antagonists of Estrogen Receptors α and β
Recruitment of transcriptional coactivators following ligand activation is a critical step in nuclear receptor-mediated target gene expression. Upon binding an agonist, the receptor undergoes a conformational change which facilitates the formation of a specific coactivator binding pocket within the carboxyl terminus of the receptor. This permits the α-helic
American Society for Microbiology.