BioRuby

BioRuby provides a Ruby-based bioinformatics toolkit for parsing, analyzing, and integrating biological sequence, structure, pathway, and annotation data for molecular biology and bioinformatics research.

Key Features:

• Sequence Analysis: Functions for sequence alignment, manipulation, and visualization.
• Pathway Analysis: Tools for examination and mapping of metabolic and signaling pathways, with KEGG integration.
• Protein Modelling: Capabilities to model protein structures to study protein function and interactions.
• Phylogenetic Analysis: Tools to construct phylogenetic trees and analyze evolutionary relationships.
• Database and External Program Access: Interfaces to BLAST, KEGG, GenBank, MEDLINE, and GO for sequence comparison, pathway mapping, sequence retrieval, literature access, and gene annotation.
• Data Format Support: Support for a wide range of commonly used bioinformatics data formats.
• Web Services Integration: Integration with public web services for programmatic data retrieval and analysis.

Scientific Applications:

• Sequence alignment and comparison: Nucleotide and protein sequence alignment and comparison using BLAST and local sequence operations.
• Pathway mapping and analysis: Metabolic and signaling pathway analysis and mapping using KEGG resources.
• Protein structure and interaction studies: Protein modelling to investigate structural features, function, and interactions.
• Phylogenetics and evolutionary analysis: Construction and analysis of phylogenetic trees to explore evolutionary relationships.
• Annotation and literature retrieval: Retrieval and annotation of sequence and gene information from GenBank and GO and literature access via MEDLINE.
• Data integration and processing: Integration and processing of heterogeneous bioinformatics datasets and public web services.

Methodology:

Provides sequence alignment, manipulation, and visualization; pathway examination and KEGG mapping; protein structure modeling; phylogenetic tree construction; supports multiple bioinformatics data formats and programmatic access to BLAST, KEGG, GenBank, MEDLINE, and GO.