Cumulative Mann-Kendall trend test

Cumulative Mann-Kendall trend test detects monotonic trends in biological or ordered datasets to identify significant changes without assuming a specific data distribution.

Key Features:

• Data Import and Analysis: Imports and analyzes multiple sequence alignments for comparative studies of orthologous protein sequences.
• Visualization Capabilities: Generates sequence plots to compare similarities and differences among orthologous sequences from different environments.
• Statistical Analysis: Implements non-parametric statistics, notably the cumulative Mann-Kendall trend test, and computes detailed statistics to assess trends.
• Structural Information Integration: Integrates structural predictions from tools such as SABLE to combine sequence and predicted structural information.

Scientific Applications:

• Genome Biology: Enables comparative analysis of orthologous protein sequences to study evolutionary adaptations and functional diversification.
• Environmental Bioinformatics: Supports analyses of extremophile proteins and habitat-specific adaptations by comparing sequences from different environments and integrating structural predictions.

Methodology:

Applies non-parametric statistical methods — specifically the cumulative Mann-Kendall trend test — to imported multiple sequence alignments, computes detailed statistics, generates sequence plots, and incorporates structural predictions from SABLE.