A survey of motif discovery methods in an integrated framework

@article{citeulike:580529, abstract = {BACKGROUND:There has been a growing interest in computational discovery of regulatory elements, and a multitude of motif discovery methods have been proposed. Computational motif discovery has been used with some success in simple organisms like yeast. However, as we move to higher organisms with more complex genomes, more sensitive methods are needed. Several recent methods try to integrate additional sources of information, including microarray experiments (gene expression and ChIP-chip). There is also a growing awareness that regulatory elements work in combination, and that this combinatorial behavior must be modeled for successful motif discovery. However, the multitude of methods and approaches makes it difficult to get a good understanding of the current status of the field. RESULTS:This paper presents a survey of methods for motif discovery in DNA, based on a structured and well defined framework that integrates all relevant elements. Existing methods are discussed according to this framework. CONCLUSION:The survey shows that although no single method takes all relevant elements into consideration, a very large number of different models treating the various elements separately have been tried. Very often the choices that have been made are not explicitly stated, making it difficult to compare different implementations. Also, the tests that have been used are often not comparable. Therefore, a stringent framework and improved test methods are needed to evaluate the different approaches in order to conclude which ones are most promising. Reviewers: This article was reviewed by Eugene V. Koonin, Philipp Bucher and Frank Eisenhaber.}, author = {Sandve, Geir K. and Drabløs, Finn }, citeulike-article-id = {580529}, doi = {10.1186/1745-6150-1-11}, issn = {1745-6150}, journal = {Biology Direct}, keywords = {motif-discovery, review, tools}, month = {April}, number = {1}, pages = {11+}, posted-at = {2008-07-08 09:03:38}, priority = {3}, title = {A survey of motif discovery methods in an integrated framework}, url = {http://dx.doi.org/10.1186/1745-6150-1-11}, volume = {1}, year = {2006} }

TY - JOUR ID - citeulike:580529 L3 - citeulike-article-id:580529 TI - A survey of motif discovery methods in an integrated framework JF - Biology Direct VL - 1 IS - 1 SP - 11 SN - 1745-6150 N2 - BACKGROUND:There has been a growing interest in computational discovery of regulatory elements, and a multitude of motif discovery methods have been proposed. Computational motif discovery has been used with some success in simple organisms like yeast. However, as we move to higher organisms with more complex genomes, more sensitive methods are needed. Several recent methods try to integrate additional sources of information, including microarray experiments (gene expression and ChIP-chip). There is also a growing awareness that regulatory elements work in combination, and that this combinatorial behavior must be modeled for successful motif discovery. However, the multitude of methods and approaches makes it difficult to get a good understanding of the current status of the field. RESULTS:This paper presents a survey of methods for motif discovery in DNA, based on a structured and well defined framework that integrates all relevant elements. Existing methods are discussed according to this framework. CONCLUSION:The survey shows that although no single method takes all relevant elements into consideration, a very large number of different models treating the various elements separately have been tried. Very often the choices that have been made are not explicitly stated, making it difficult to compare different implementations. Also, the tests that have been used are often not comparable. Therefore, a stringent framework and improved test methods are needed to evaluate the different approaches in order to conclude which ones are most promising. Reviewers: This article was reviewed by Eugene V. Koonin, Philipp Bucher and Frank Eisenhaber. KW - motif-discovery KW - review KW - tools AU - Sandve, Geir AU - Drabløs, Finn PY - 2006/04/06/ UR - http://dx.doi.org/10.1186/1745-6150-1-11 ER -