A general syntax for expressing biomolecular sequence motifs is described, which will be used in future releases of the PROSITE data bank and in a similar collection of nucleic acid sequence motifs currently under development. The central part of the syntax is a regular structure which can be viewed as a generalization of the profiles introduced by Gribskov and coworkers. Accessory features implement specific motif search strategies and provide information helpful for the interpretation of predicted matches. Two contrasting examples, representing E. coli promoters and SH3 domains respectively, are shown to demonstrate the versatility of the syntax, and its compatibility with diverse motif search methods. It is argued, that a comprehensive m...
Informally. A regulatory motif is a nucleotide sequence widespread in DNA and conjectured to have so...
A method for detecting patterns in biological sequences is described that incorporates rigorous stat...
Biology has become a data‐intensive research field. Coping with the flood of data from the new genom...
bairoch @ cmu.unige.ch A general syntax for expressing biomolecular sequence motifs is described, wh...
AbstractA new flexible and efficient search technique has been recently introduced which includes tw...
A flexible motif search technique is presented which has two major components: (1) a generalized pro...
A significant growth in the volume of bio-molecular sequence data (DNA, RNA and protein sequences) o...
This master thesis is a Ph.D. research plan for motif discovery in biological sequences, and consist...
This chapter provides a characterization of motifs with character classes, following with the notion...
Strings, sequences and, ultimately, motifs play a key role in bioinformatics. Here, a motif is a bio...
Sequence motif discovery algorithms are an important part of the computational biologists toolkit. T...
Sequence motifs occurring in a particular order in proteins or DNA have been proved to be of biologi...
Biology is encoded in molecular sequences: deciphering this encoding remains a grand scientific chal...
Background: Protein sequence motifs are by definition short fragments of conserved amino acids, ofte...
Motivation: Short linear peptide motifs mediate protein–protein interaction, cell compartment target...
Informally. A regulatory motif is a nucleotide sequence widespread in DNA and conjectured to have so...
A method for detecting patterns in biological sequences is described that incorporates rigorous stat...
Biology has become a data‐intensive research field. Coping with the flood of data from the new genom...
bairoch @ cmu.unige.ch A general syntax for expressing biomolecular sequence motifs is described, wh...
AbstractA new flexible and efficient search technique has been recently introduced which includes tw...
A flexible motif search technique is presented which has two major components: (1) a generalized pro...
A significant growth in the volume of bio-molecular sequence data (DNA, RNA and protein sequences) o...
This master thesis is a Ph.D. research plan for motif discovery in biological sequences, and consist...
This chapter provides a characterization of motifs with character classes, following with the notion...
Strings, sequences and, ultimately, motifs play a key role in bioinformatics. Here, a motif is a bio...
Sequence motif discovery algorithms are an important part of the computational biologists toolkit. T...
Sequence motifs occurring in a particular order in proteins or DNA have been proved to be of biologi...
Biology is encoded in molecular sequences: deciphering this encoding remains a grand scientific chal...
Background: Protein sequence motifs are by definition short fragments of conserved amino acids, ofte...
Motivation: Short linear peptide motifs mediate protein–protein interaction, cell compartment target...
Informally. A regulatory motif is a nucleotide sequence widespread in DNA and conjectured to have so...
A method for detecting patterns in biological sequences is described that incorporates rigorous stat...
Biology has become a data‐intensive research field. Coping with the flood of data from the new genom...