Motivation: Promoter analysis is an essential step on the way to identify regulatory networks. A prerequisite for successful promoter analysis is the prediction of potential transcription factor binding sites (TFBS) with reasonable accuracy. The next steps in promoter analysis can be tackled only with reliable predictions, e.g. finding phylogenet-ically conserved patterns or identifying higher order combinations of sites in promoters of co-regulated genes. Results: We present a new version of the program MatInspector that identifies TFBS in nucleotide sequences using a large library of weight matrices. By introducing a matrix family concept, optimized thresholds, and comparative analysis, the enhanced program pro-duces concise results avoid...
A major goal in post-genome biology is the complete mapping of the gene regulatory networks for ever...
Background—The computational identification of functional transcription factor binding sites (TFBSs)...
Exploring novel computational methods in making sense of biological data has not only been a necessi...
A central issue in molecular biology is understanding the regulatory mechanisms that control gene ex...
A central issue in molecular biology is understanding the regulatory mechanisms that control gene ex...
transcription factor binding sites Resume Motivation: Analysis of gene regulatory regions requires a...
We consider a typical situation, where a researcher has determined one or more clusters of genes co-...
We propose a method for identifying transcription factor binding sites (TFBS) in the given promoter ...
Abstract As detailed in this chapter TFBSs are among the most important elements of transcrip-tion c...
Transcription factor binding sites (TFBSs) are DNA sequences of 6 to 15 base pairs and interaction w...
Ab initio methods of DNA regulatory sequence region prediction known as transcription factor binding...
Position weight matrices (PWMs) have become a tool of choice for the identification of transcription...
Predicting transcription factor binding sites (TFBS) from sequence is one of the most challenging pr...
BACKGROUND: Searching for approximate patterns in large promoter sequences frequently produces an e...
We present here a heuristic method toward predicting the expression specificity in the transcription...
A major goal in post-genome biology is the complete mapping of the gene regulatory networks for ever...
Background—The computational identification of functional transcription factor binding sites (TFBSs)...
Exploring novel computational methods in making sense of biological data has not only been a necessi...
A central issue in molecular biology is understanding the regulatory mechanisms that control gene ex...
A central issue in molecular biology is understanding the regulatory mechanisms that control gene ex...
transcription factor binding sites Resume Motivation: Analysis of gene regulatory regions requires a...
We consider a typical situation, where a researcher has determined one or more clusters of genes co-...
We propose a method for identifying transcription factor binding sites (TFBS) in the given promoter ...
Abstract As detailed in this chapter TFBSs are among the most important elements of transcrip-tion c...
Transcription factor binding sites (TFBSs) are DNA sequences of 6 to 15 base pairs and interaction w...
Ab initio methods of DNA regulatory sequence region prediction known as transcription factor binding...
Position weight matrices (PWMs) have become a tool of choice for the identification of transcription...
Predicting transcription factor binding sites (TFBS) from sequence is one of the most challenging pr...
BACKGROUND: Searching for approximate patterns in large promoter sequences frequently produces an e...
We present here a heuristic method toward predicting the expression specificity in the transcription...
A major goal in post-genome biology is the complete mapping of the gene regulatory networks for ever...
Background—The computational identification of functional transcription factor binding sites (TFBSs)...
Exploring novel computational methods in making sense of biological data has not only been a necessi...