DOGMA

DOGMA assesses the completeness and quality of transcriptome and proteome datasets by evaluating conserved protein domains and domain arrangements to support analysis of next-generation sequencing-derived assemblies.

Key Features:

• Core Set Comparison: Compares input transcriptomes and proteomes against precomputed core sets of conserved protein domains specific to phylogenetic clades to assess completeness.
• Domain Arrangement Analysis: Analyzes conserved domain arrangements to evaluate domain architecture conservation across datasets.
• Fast Analysis: Performs rapid quality assessments suitable for large-scale datasets from next-generation sequencing.
• Implementation: Implemented in Python.

Scientific Applications:

• Transcriptome quality assessment: Assesses completeness and domain content of transcriptome assemblies derived from next-generation sequencing.
• Proteome quality assessment: Evaluates completeness and domain representation in proteome assemblies.
• Genome analysis pipelines: Provides dataset quality control and domain-content benchmarking within genome and comparative genomics workflows.

Methodology:

Computational evaluation of transcriptomic or proteomic datasets against precomputed core sets of conserved protein domains tailored to phylogenetic clades, including analysis of domain arrangements.