StatSigMA
StatSigMA evaluates the statistical significance of multiple sequence alignments (MSAs) of nucleotide and amino acid sequences to detect non-homologous contamination.
Key Features:
- Statistical Assessment: Provides quantitative significance scores for MSAs to assess alignment reliability, analogous to BLAST E-values for pairwise alignments.
- Contamination Detection: Identifies and flags MSAs that include one or more non-homologous (unrelated) sequences.
- Comparative Analysis: Enables statistical comparison of outputs from different multiple alignment tools.
Scientific Applications:
- Homology Determination: Distinguishes homologous from non-homologous sequences to support phylogenetic and evolutionary analyses.
- Tool Evaluation: Allows researchers to evaluate and compare the performance of multiple alignment tools using statistical significance metrics.
Methodology:
Analyzes MSAs to detect statistical anomalies and computes significance scores for alignments.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux
- Programming Languages:
- C++
- Added:
- 12/18/2017
- Last Updated:
- 2/28/2019
Operations
Publications
Prakash A, Tompa M. Assessing the Discordance of Multiple Sequence Alignments. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2009;6(4):542-551. doi:10.1109/tcbb.2007.70271. PMID:19875854.
PMID: 19875854