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April 28, 2005Computer applications in the biosciences2,001 citationsOpen Access

MatInspector and beyond: promoter analysis based on transcription factor binding sites

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KCKerstin CarthariusKFKornelie FrechKGKorbinian Grote

Key Points

  • To improve the accuracy of transcription factor binding site predictions in nucleotide sequences and provide integrated tools for comprehensive promoter analysis.
  • Implemented a matrix family classification system and optimized match thresholds using a comprehensive library of position weight matrices.
  • Developed complementary software tools, including DiAlignTF for comparative analysis, FrameWorker for detecting framework patterns, and SequenceShaper for sequence design.
  • The updated MatInspector algorithm reduced redundant output and minimized false-positive transcription factor binding site predictions.
  • The integrated program suite enabled downstream detection of phylogenetically conserved motifs and complex site combinations in co-regulated gene promoters.

Abstract

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 phylogenetically 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 produces concise results avoiding redundant and false-positive matches. We describe a number of programs based on MatInspector allowing in-depth promoter analysis (DiAlignTF, FrameWorker) and targeted design of regulatory sequences (SequenceShaper). Availability: MatInspector and the other programs described here can be used online at http://www.genomatix.de/matinspector.html. Access is free after registration within certain limitations (e.g. the number of analysis per month is currently limited to 20 analyses of arbitrary sequences). Contact: cartharius@genomatix.de Supplementary information: http://www.genomatix.de/matinspector.html

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Cite This Study

Cartharius et al. (2005) studied this question.

synapsesocial.com/papers/6a0fe902d13714ec96fecd06https://doi.org/10.1093/bioinformatics/bti473
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