prophet

prophet scans one or more biological sequences using Gribskov or Henikoff profiles to identify conserved motifs and support functional annotation and motif discovery.

Key Features:

• Integration with EMBOSS: Operates as a component of the EMBOSS suite and uses EMBOSS computational libraries.
• Profile-Based Sequence Scanning: Scans sequences using Gribskov and Henikoff profiles derived from multiple sequence alignments to detect conserved motifs.
• Extensible C implementation: Implemented in C using EMBOSS libraries and configurable via ACD (Application Configuration Description) files for application behavior.
• EMBOSS API and porting support: Can be wrapped or ported and integrates with third-party applications via the EMBOSS API.

Scientific Applications:

• Functional Annotation: Identifying conserved motifs within sequences to predict molecular function using profile matches.
• Sequence Alignment Analysis: Comparing sequences against Gribskov or Henikoff profile models to assess evolutionary relationships.
• Motif Discovery: Detecting novel conserved motifs relevant to regulatory or structural contexts in biological sequences.

Methodology:

Scans one or more sequences with Gribskov or Henikoff profiles (statistical models derived from multiple sequence alignments); implemented in C using EMBOSS libraries; configured via ACD files; supports wrapping/porting via the EMBOSS API.