PWMEnrich

PWMEnrich performs position weight matrix (PWM) scanning and enrichment analysis using Biostrings to evaluate enrichment of known PWMs (e.g., from MotifDb) in DNA sequences and does not perform de novo motif discovery.


Key Features:

  • PWM enrichment analysis: Performs enrichment testing for known PWMs (e.g., from MotifDb) to identify motifs overrepresented in a target sequence set.
  • Biostrings-based PWM scanning: Uses Biostrings utilities to scan DNA sequences against PWMs for motif occurrence detection.
  • Motif visualization: Provides utilities to visualize motif occurrences and enrichment patterns to support interpretation of results.
  • Support for externally derived PWMs: Evaluates PWMs that are experimentally derived or generated by external tools rather than performing de novo discovery.

Scientific Applications:

  • Regulatory motif enrichment analysis: Assessing motif enrichment in genomic regions associated with gene expression or epigenomic signals.
  • Comparative motif analysis: Comparing motif enrichment across conditions or experimental groups to identify condition-associated regulatory signatures.
  • Motif occurrence interpretation: Visualizing motif occurrences and enrichment patterns to aid interpretation of complex sequence datasets.

Methodology:

Implements Biostrings-based PWM scanning and enrichment testing using known PWMs (e.g., MotifDb) and does not perform de novo motif discovery.

Topics

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Details

License:
GPL-2.0
Tool Type:
command-line tool, library
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
1/17/2017
Last Updated:
11/25/2024

Operations

Data Inputs & Outputs

Publications

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M. Orchestrating high-throughput genomic analysis with Bioconductor. Nature Methods. 2015;12(2):115-121. doi:10.1038/nmeth.3252. PMID:25633503. PMCID:PMC4509590.

Documentation

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