UnderlyingFilter
UnderlyingFilter filters degenerate character-class motifs in protein sequences to reduce redundant pattern outputs and retain representative biological motifs for downstream analysis.
Key Features:
- Characterization of Degenerate Patterns: Analyzes degenerate patterns composed of character classes without gaps, emphasizing representation of protein active-site motifs and compatibility with PROSITE-style patterns.
- Pattern Priority: Assigns and employs a pattern priority metric to compare and rank patterns by significance.
- Underlying Patterns Class: Defines a class of underlying patterns used to filter degenerate patterns into a filtered set whose size is linear relative to the input sequence.
- Output Reduction: Reduces the number of output patterns while retaining representative motifs to improve manageability and interpretability of results.
Scientific Applications:
- Protein Sequence Analysis: Filters degenerate motifs to highlight patterns relevant to protein function, active sites, and family-specific signals.
- Genomic Studies: Applies the same pattern-filtering principles to genomic sequence motif recognition and pattern analysis, despite primary testing on proteins.
Methodology:
Analyzes degenerate patterns with character classes; implements a ranking system based on pattern priority; filters patterns into a new set that maintains essential information while being linear in size relative to the input sequence.
Topics
Details
- License:
- Other
- Tool Type:
- command-line tool
- Operating Systems:
- Linux
- Added:
- 1/22/2015
- Last Updated:
- 12/10/2018
Operations
Publications
Comin M, Verzotto D. Filtering Degenerate Patterns with Application to Protein Sequence Analysis. Algorithms. 2013;6(2):352-370. doi:10.3390/a6020352.
DOI: 10.3390/a6020352