Dynalogo

Dynalogo visualizes dynamic sequence logos and analyzes binding array datasets to characterize domain–peptide interaction specificity across affinity thresholds in the R statistical programming environment.


Key Features:

  • Dynamic Thresholding: Enables adjustment of affinity thresholds to explore binding specificity across a spectrum of interactions.
  • Sequence Logo Generation: Produces sequence logos that display enrichment and depletion of amino acid characters as thresholds are varied.
  • Data Import and Filtering: Imports quantitative data files or sample datasets and applies data filtering options to tailor analyses.
  • Export Functionality: Exports filtered data and graphical outputs for downstream analysis.

Scientific Applications:

  • Modular domain–peptide binding analysis: Characterizes specificity and affinity relationships in domain–peptide binding experiments.
  • Quantitative proteomics: Supports analysis of proteomic binding datasets to assess enrichment patterns and interaction specificity.

Methodology:

Implemented in R, Dynalogo performs on-the-fly visualization and analysis using threshold control mechanisms to dynamically track changes in sequence logos as thresholds are adjusted.

Topics

Details

License:
GPL-3.0
Tool Type:
web application
Programming Languages:
R
Added:
1/9/2020
Last Updated:
12/25/2020

Operations

Publications

Lafontaine AT, Mayer BJ, Machida K. Dynalogo: an interactive sequence logo with dynamic thresholding of matched quantitative proteomic data. Bioinformatics. 2019;36(5):1632-1633. doi:10.1093/bioinformatics/btz766. PMID:31609429. PMCID:PMC7523650.

PMID: 31609429
Funding: - National Institutes of Health: U01 CA154966 - Leukemia and Lymphoma Society: R0818-14 - Health Center Research Advisory Council Exploratory: 401703

Links