Results 211 to 220 of about 420,339 (255)
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Cold Spring Harbor Protocols, 2016
Here we provide an introduction to sequence motifs, including prediction of transcription factor-binding sites and general approaches to finding motifs enriched in a set of regulatory sequences.
Hung, Jui-Hung, Weng, Zhiping
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Here we provide an introduction to sequence motifs, including prediction of transcription factor-binding sites and general approaches to finding motifs enriched in a set of regulatory sequences.
Hung, Jui-Hung, Weng, Zhiping
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Proceedings of the eighth annual international conference on Computational molecular biology - RECOMB '04, 2004
In this paper, we describe an algorithm for the localization of structured models, i.e. sequences of (simple) motifs and distance constraints. It basically combines standard pattern matching procedures with a constraint satisfaction solver, and it has the ability, not present in similar tools, to search for partial matches. A significant feature of our
MORGANTE, Michele +3 more
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In this paper, we describe an algorithm for the localization of structured models, i.e. sequences of (simple) motifs and distance constraints. It basically combines standard pattern matching procedures with a constraint satisfaction solver, and it has the ability, not present in similar tools, to search for partial matches. A significant feature of our
MORGANTE, Michele +3 more
openaire +5 more sources
acc-Motif: Accelerated Network Motif Detection
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2014Network motif algorithms have been a topic of research mainly after the 2002-seminal paper from Milo et al. [1], which provided motifs as a way to uncover the basic building blocks of most networks. Motifs have been mainly applied in Bioinformatics, regarding gene regulation networks. Motif detection is based on induced subgraph counting.
Luis A A, Meira +3 more
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Proceedings of the sixth annual international conference on Computational biology, 2002
This paper takes a new view of motif discovery, addressing a common problem in existing motif finders. A motif is treated as a feature of the input promoter regions that leads to a good classifier between these promoters and a set of background promoters. This perspective allows us to adapt existing methods of feature selection, a well-studied topic in
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This paper takes a new view of motif discovery, addressing a common problem in existing motif finders. A motif is treated as a feature of the input promoter regions that leads to a good classifier between these promoters and a set of background promoters. This perspective allows us to adapt existing methods of feature selection, a well-studied topic in
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2013
We discuss the temporal motifs approach that is aimed at detecting significant, intrinsically dynamic, mesoscopic structures and patterns in temporal networks, which cannot be seen in static or aggregated networks. Such patterns involve several nodes and their timed contacts. The approach consists of three phases: (1) identifying temporal subgraphs, (2)
Kovanen, Lauri +4 more
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We discuss the temporal motifs approach that is aimed at detecting significant, intrinsically dynamic, mesoscopic structures and patterns in temporal networks, which cannot be seen in static or aggregated networks. Such patterns involve several nodes and their timed contacts. The approach consists of three phases: (1) identifying temporal subgraphs, (2)
Kovanen, Lauri +4 more
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Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 2015
Creating personal narratives helps people build meaning around their experiences. However, novices lack the knowledge and experience to create stories with strong narrative structure. Current storytelling tools often structure novice work through templates, enforcing a linear creative process that asks novices for materials they may not have.
Joy Kim +4 more
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Creating personal narratives helps people build meaning around their experiences. However, novices lack the knowledge and experience to create stories with strong narrative structure. Current storytelling tools often structure novice work through templates, enforcing a linear creative process that asks novices for materials they may not have.
Joy Kim +4 more
+4 more sources
Proceedings of the 2017 ACM International Symposium on Wearable Computers, 2017
Alzheimer's is the 6th most leading cause of death in the United States, more lethal than breast and prostate cancer combined [1]. Currently, there are over 5.5 million Americans suffering from this disease. Inspired by this concept, we created Motif, a wearable device to support members of our society who need it most.
Stefania Druga +2 more
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Alzheimer's is the 6th most leading cause of death in the United States, more lethal than breast and prostate cancer combined [1]. Currently, there are over 5.5 million Americans suffering from this disease. Inspired by this concept, we created Motif, a wearable device to support members of our society who need it most.
Stefania Druga +2 more
openaire +1 more source
Current Opinion in Structural Biology, 1996
Protein sequence motifs are signatures of protein families and can often be used as tools for the prediction of protein function. The generalization and modification of already known motifs are becoming major trends in the literature, even though new motifs are still being discovered at an approximately linear rate.
P, Bork, E V, Koonin
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Protein sequence motifs are signatures of protein families and can often be used as tools for the prediction of protein function. The generalization and modification of already known motifs are becoming major trends in the literature, even though new motifs are still being discovered at an approximately linear rate.
P, Bork, E V, Koonin
openaire +2 more sources