YMF 3.0

YMF 3.0 identifies potential transcription factor binding sites by detecting statistically overrepresented motifs within genomic sequences.

Key Features:

• Statistical analysis (z-scores): Calculates z-scores to rank motifs by statistical significance within the search space.
• Comprehensive motif enumeration: Systematically enumerates all possible motifs in input genomic data to ensure exhaustive identification of candidate motifs.
• Multi-organism support: Applies motif discovery to sequences from human, yeast, worm, plants, and various microbes.

Scientific Applications:

• Transcription factor binding site discovery: Detects overrepresented motifs as candidate transcription factor binding sites in genomic loci.
• Regulatory element prediction in coregulated gene sets: Identifies motifs enriched among collections of putatively coregulated genes to generate hypotheses about shared regulatory factors.
• Genomics and regulatory biology studies: Supports analyses aimed at elucidating gene regulation mechanisms across diverse organisms.

Methodology:

Enumerates all possible motifs in the input sequences and computes z-scores to assess motif overrepresentation and statistical significance.