Web Weeder

Web Weeder identifies conserved motifs in sets of related regulatory DNA sequences to predict transcription factor binding sites involved in transcriptional and post-transcriptional regulation of gene expression.

Key Features:

• Automated Motif Discovery: Utilizes the Weeder algorithm to automatically discover conserved motifs across sets of related regulatory DNA sequences.
• Parameter Optimization: Performs multiple runs using different parameters to explore a wide range of motif configurations.
• Summary and Analysis: Produces an overall summary of results and highlights motifs based on statistical significance.

Scientific Applications:

• Transcription factor binding site identification: Identifies conserved motifs likely to correspond to transcription factor binding sites to inform studies of gene regulation.
• Gene expression regulation studies: Supports analysis of regulatory DNA sequences to investigate mechanisms of transcriptional and post-transcriptional regulation relevant to genetics, molecular biology, and biotechnology.

Methodology:

Applies the Weeder algorithm to discover conserved motifs across input regulatory DNA sequences, conducts multiple automated runs with varied parameters for optimization, and summarizes results with assessments of statistical significance.