Pse-in-One

Pse-in-One generates numerical feature vectors that encode sequence composition and physicochemical properties for DNA, RNA, and protein sequences to support computational analyses.

Key Features:

• Versatility Across Biological Sequences: Handles DNA, RNA, and protein sequences for unified feature extraction.
• Extensive Built-In Properties: Provides a comprehensive library of built-in physicochemical and sequence-derived properties for feature representation.
• Customizable Feature Vectors: Allows specification of user-defined properties to create tailored feature vectors.
• Multiple Modes of Generation: Implements 28 different modes for generating a wide range of feature vectors.
• Integration with Machine Learning Algorithms: Produces feature matrices compatible with machine-learning algorithms used in bioinformatics and systems biology tasks.

Scientific Applications:

• Computational Proteomics and Genomics: Supports studies of protein structure–function relationships and analysis of genomic variations.
• Biological Sequence Analysis: Enables comprehensive sequence characterization for molecular biology and comparative analyses.

Methodology:

Integrates multiple physicochemical and sequence-derived properties across 28 generation modes to produce numerical feature vectors for DNA, RNA, and protein sequences.