GLOSSary

GLOSSary provides management and analysis of environmental 16S ribosomal RNA (rRNA) gene sequences and associated Tara Ocean Project metadata to support taxonomic classification and geospatial investigation of marine metagenomes.

Key Features:

• Data Management and Organization: Uses a schema-less NoSQL database architecture that supports flexible organization of large datasets and native geospatial queries.
• Reference Database Integration: Integrates the SILVA collection of 16S rRNA reference sequences to enable comparative analyses and taxonomic assignment.
• miTAGs and 16S rDNA Contigs Handling: Associates raw metagenomic reads (miTAGs) and assembled 16S rDNA contigs with sampling locations and metadata.
• Taxonomic Classification and Chimera Detection: Classifies sequences by length, flags potential chimeric reads, and assigns putative taxonomic affiliations.
• Geospatial and Metadata Querying: Supports querying of Tara metadata and geospatial distribution of sampling sites and associated sequence libraries.
• BLAST-Based Sequence Search: Provides BLAST-based sequence similarity search capability against the SILVA database.

Scientific Applications:

• Taxonomic diversity assessment: Enables analysis of microbial taxonomic diversity in environmental and marine metagenomic samples using 16S rRNA sequences and SILVA comparisons.
• Spatial ecology and biogeography: Facilitates investigation of spatial distribution patterns of microbial taxa by linking sequences to geospatial coordinates and Tara metadata.
• Metagenomic data mining: Supports storage, querying, and mining of large environmental 16S-focused metagenomic datasets for ecological and biogeochemical studies.

Methodology:

Implements a schema-less NoSQL database with native geospatial queries; integrates the SILVA 16S rRNA reference collection; supports BLAST-based searches against SILVA; classifies sequences by length, flags potential chimeric reads, and associates miTAGs and assembled 16S rDNA contigs with Tara metadata and geospatial coordinates.