ParameciumDB

ParameciumDB provides an integrated genomic and functional data resource for Paramecium species, centralizing genome sequences for Paramecium tetraurelia, proteome and transcriptome datasets, predicted orthologs across 33 species, and community- and literature-derived annotations to support sequence analysis, genome curation, ontology browsing, RNAi off-target evaluation, and comparative genomics.

Key Features:

• Comprehensive data integration: Consolidates genome sequences for Paramecium tetraurelia with proteome and transcriptome datasets, predicted orthologs across 33 species, and community and literature annotations.
• Advanced query capabilities: Implements BioMart to enable complex, attribute-based retrieval of genomic and functional datasets.
• Genome browsing and editing: Hosts GBrowse2 for genome visualization and Apollo for manual gene model curation.
• Sequence analysis tools: Provides a BLAST server for sequence similarity searches and a motif finder for conserved region identification.
• Ontology browsing and RNAi analysis: Includes custom in-house tools for ontology navigation and for evaluating off-target matches in RNA interference (RNAi) experiments.
• Next-generation sequencing support: Configured to accommodate next-generation deep sequencing data for downstream analyses.
• Comparative genomics expansion: Prepared to incorporate genomes from additional Paramecium species to extend comparative genomics resources.
• GMOD-based implementation: Built using the Generic Model Organism Database (GMOD) toolkit.

Scientific Applications:

• Genome annotation and curation: Support for manual and automated gene model curation using Apollo and integrated annotation sources.
• Sequence similarity and motif discovery: BLAST searches and motif finder use for identifying homologs and conserved sequence elements.
• RNAi experimental design and evaluation: Assessment of RNAi off-targets to increase accuracy of functional genomics experiments.
• Ontology-driven functional annotation: Ontology browsing to organize and interpret gene function and annotations.
• Comparative genomics and orthology analysis: Use of predicted orthologs across 33 species and additional Paramecium genomes for evolutionary and comparative studies.
• Integration of expression and proteomic data: Combined proteome and transcriptome datasets for functional and expression analyses, including next-generation deep sequencing data.

Methodology:

Implemented with the GMOD toolkit; query functionality via BioMart; genome visualization with GBrowse2; gene model curation using Apollo; sequence similarity via a BLAST server and motif finder; custom in-house tools for ontology browsing and RNAi off-target evaluation; integration of proteome and transcriptome data and predicted orthologs across 33 species; configured to handle next-generation deep sequencing datasets.