compseq
compseq computes the composition of unique words (subsequences) in nucleotide and protein sequences to quantify subsequence frequencies for motif discovery, comparative genomics, and sequence variability analysis within the EMBOSS suite.
Key Features:
- Unique Word Composition Analysis: Identifies and quantifies distinct subsequences (words) within biological sequences.
- Supported Sequence Types: Analyzes both nucleotide and protein datasets.
- Word-Length Parameterization: Allows specification of word length for targeted composition analysis.
- Frequency Statistics Output: Produces detailed statistics on the frequency of each unique subsequence.
- EMBOSS Integration and Implementation: Integrated into the EMBOSS suite and implemented using EMBOSS's C programming libraries.
Scientific Applications:
- Motif Discovery: Identifies recurring sequence patterns that may indicate functional or structural elements.
- Comparative Genomics: Compares subsequence composition across species or strains to infer evolutionary relationships and conservation.
- Sequence Variability Studies: Quantifies variation in sequence motifs across populations or experimental conditions.
Methodology:
Accepts input sequences, accepts parameters for word length and composition analysis, computes the frequency of each unique subsequence, and outputs detailed frequency statistics.
Topics
Collections
Details
- License:
- GPL-3.0
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- C
- Added:
- 11/8/2015
- Last Updated:
- 12/10/2018
Operations
Data Inputs & Outputs
Sequence composition calculation
Publications
Rice P, Longden I, Bleasby A. EMBOSS: The European Molecular Biology Open Software Suite. Trends in Genetics. 2000;16(6):276-277. doi:10.1016/s0168-9525(00)02024-2.
Bleasby AJ, Ison JC, Rice PM. EMBOSS Administrator's Guide. Unknown Journal. 2011. doi:10.1017/cbo9781139151399.
Ison JC, Rice PM, Bleasby AJ. EMBOSS Developer's Guide. Unknown Journal. 2011. doi:10.1017/cbo9781139151405.