dictyBase

dictyBase provides curated genomic, expression, literature, and comparative data for Dictyostelium discoideum and related Dictyostelid species to support genomic, expression, and comparative genomics research.

Key Features:

• Complete Genome Sequence: Contains the complete genome sequence of Dictyostelium discoideum as a foundational dataset for genetic and comparative studies.
• Expression Data Integration: Incorporates gene expression data across conditions and developmental stages for analysis of expression patterns.
• Literature Integration: Integrates relevant scientific literature to provide context and supporting evidence for genomic findings and annotations.
• Curated Gene Models and Functional Annotations: Provides gene models and functional annotations manually curated from experimental results and comparative multigenome analyses.
• Expanded Genomic Resources: Includes genome sequences of three additional Dictyostelid species for broader evolutionary and comparative analyses.
• Multigenome Comparison Tools: Offers software tools for multigenome comparisons to facilitate cross-species analyses and identification of conserved genetic elements.
• Integration with Dicty Stock Center: Integrates Dicty Stock Center resources within dictyBase to link genomic data with strain and resource information.

Scientific Applications:

• Genomic Research: Supports genome-wide analyses and functional genomics using complete genome sequences and curated annotations.
• Gene Expression Analysis: Enables investigation of gene regulation and identification of genes involved in specific developmental stages or conditions using integrated expression data.
• Comparative Genomics: Facilitates cross-species comparisons among Dictyostelid genomes to study evolutionary relationships and conserved features.
• Functional Annotation Studies: Assists identification of gene functions and interactions through manually curated annotations and supporting literature.

Methodology:

Manual curation of gene models and functional annotations from experimental results and comparative multigenome analyses; integration of expression data and literature; development of software tools for multigenome comparisons.