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.

Links