We define a motif as an expression Z1 .Z2... Zn with sets Zl, Z2, . . . , Zn of strings in a specified family $ Omega $ called the type. This notion can capture the most of the motifs in PROSITE as well as regular pattern languages. A greedy strategy is developed for finding such motifs with ambiguity just from positive and negaiive examples by exploiting the probabilistic argument. This paper concentrates on describing the idea of the greedy algorit hm with its underling theory. Its experiment a1 results on splicing sites and E. coli promoters are also presented
Abstract The discovery of motifs in biosequences is frequently torn between the rigidity of the mod...
In this paper, a natural probabilistic model for motif discovery has been used to experimentally tes...
Recently, several attempts have been made at applying machine learning method to protein motif disco...
We define the best consensus motif (BCM) problem motivated by the problem of extracting motifs from ...
Strings, sequences and, ultimately, motifs play a key role in bioinformatics. Here, a motif is a bio...
Motivation: Finding common patterns, motifs, from a set of promoter regions of coregulated genes is ...
Motivation: The motif discovery problem consists of finding over-represented patterns in a collectio...
Motivation: The discovery of motifs in biosequences is frequently torn between the rigidity of the m...
Motif inference is at the heart of several time-demanding computational tasks, such as in molecul...
Motivation: Finding common patterns, motifs, from a set of promoter regions of coregulated genes is ...
Motif inference represents one of the most important areas of research in computational biology, and...
Finding similar patterns (motifs) in a set of sequences is an important problem in Computational Mol...
International audienceMotif inference is at the heart of several time-demanding computational tasks,...
The problem of motif finding plays an important role in understanding the development, function and ...
Short paperInternational audienceThis paper addresses the discovery of discriminative nary motifs in...
Abstract The discovery of motifs in biosequences is frequently torn between the rigidity of the mod...
In this paper, a natural probabilistic model for motif discovery has been used to experimentally tes...
Recently, several attempts have been made at applying machine learning method to protein motif disco...
We define the best consensus motif (BCM) problem motivated by the problem of extracting motifs from ...
Strings, sequences and, ultimately, motifs play a key role in bioinformatics. Here, a motif is a bio...
Motivation: Finding common patterns, motifs, from a set of promoter regions of coregulated genes is ...
Motivation: The motif discovery problem consists of finding over-represented patterns in a collectio...
Motivation: The discovery of motifs in biosequences is frequently torn between the rigidity of the m...
Motif inference is at the heart of several time-demanding computational tasks, such as in molecul...
Motivation: Finding common patterns, motifs, from a set of promoter regions of coregulated genes is ...
Motif inference represents one of the most important areas of research in computational biology, and...
Finding similar patterns (motifs) in a set of sequences is an important problem in Computational Mol...
International audienceMotif inference is at the heart of several time-demanding computational tasks,...
The problem of motif finding plays an important role in understanding the development, function and ...
Short paperInternational audienceThis paper addresses the discovery of discriminative nary motifs in...
Abstract The discovery of motifs in biosequences is frequently torn between the rigidity of the mod...
In this paper, a natural probabilistic model for motif discovery has been used to experimentally tes...
Recently, several attempts have been made at applying machine learning method to protein motif disco...