We use methods from data mining and knowledge discovery to design an algorithm for detecting motifs in protein sequences. Based on this approach, we have implemented a program called «GYM». The Helix-Turn-Helix Motif was used as a model system on which to test our program. The program was also extended to detect Homeodomain motifs. The detection results for the two motifs compare favorably with existing programs. In addition, the GYM program provides a lot of useful information about a given protein sequence
This paper presents an approach to detect the presence of a given motif in proteins or in protein da...
AbstractBioinformatics is the application of computer technology to the management of biological inf...
For the motif discovery problem of DNA or protein sequences, a greedy two-stage Gibbs sampling algor...
We use methods from data mining and knowledge discovery to design an algorithm for detecting motifs ...
We use methods from Data Mining and Knowledge Discovery to design an algorithm for detecting motifs ...
This chapter overviews the topic of protein motif discovery. It presents current ap-proaches to know...
Sequence motif discovery algorithms are an important part of the computational biologists toolkit. T...
Abstract: Protein motifs, which are specific regions and conserved regions, are found by comparing m...
We describe a method for discovering active motifs in a set of related protein sequences. The method...
This master thesis is a Ph.D. research plan for motif discovery in biological sequences, and consist...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mathematics, 2001.Includes bibliogr...
A significant growth in the volume of bio-molecular sequence data (DNA, RNA and protein sequences) o...
The discovery of motifs in biological sequence is a much explored and still exploring area of resear...
Several algorithms have been recently designed to identify motifs in biological networks, particular...
Discrete motifs that discriminate functional classes of proteins are useful for classifying new sequ...
This paper presents an approach to detect the presence of a given motif in proteins or in protein da...
AbstractBioinformatics is the application of computer technology to the management of biological inf...
For the motif discovery problem of DNA or protein sequences, a greedy two-stage Gibbs sampling algor...
We use methods from data mining and knowledge discovery to design an algorithm for detecting motifs ...
We use methods from Data Mining and Knowledge Discovery to design an algorithm for detecting motifs ...
This chapter overviews the topic of protein motif discovery. It presents current ap-proaches to know...
Sequence motif discovery algorithms are an important part of the computational biologists toolkit. T...
Abstract: Protein motifs, which are specific regions and conserved regions, are found by comparing m...
We describe a method for discovering active motifs in a set of related protein sequences. The method...
This master thesis is a Ph.D. research plan for motif discovery in biological sequences, and consist...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mathematics, 2001.Includes bibliogr...
A significant growth in the volume of bio-molecular sequence data (DNA, RNA and protein sequences) o...
The discovery of motifs in biological sequence is a much explored and still exploring area of resear...
Several algorithms have been recently designed to identify motifs in biological networks, particular...
Discrete motifs that discriminate functional classes of proteins are useful for classifying new sequ...
This paper presents an approach to detect the presence of a given motif in proteins or in protein da...
AbstractBioinformatics is the application of computer technology to the management of biological inf...
For the motif discovery problem of DNA or protein sequences, a greedy two-stage Gibbs sampling algor...