IHM-DB

IHM-DB aggregates and curates metagenomic datasets from the Indian Himalayan Region to provide centralized access and analysis of 16S rRNA amplicon sequencing data.

Key Features:

• Curated IHR metagenomic datasets: Aggregation of metagenomic data from existing databases and published studies focused on the Indian Himalayan Region.
• Categorized access: Dataset-specific organization by state within the IHR, by sample category, and by hypervariable region.
• AutoQii2 integration: Integration with the AutoQii2 pipeline for 16S rRNA amplicon-based analysis.
• Read support: Processing support for both single-end and paired-end raw reads.
• Processing steps: Automated quality control, adapter trimming, chimera removal, and taxonomic classification using the ribosomal database project (RDP) classifier.
• Community data contribution: Inclusion of published metagenomic studies and user-contributed microbiome datasets.

Scientific Applications:

• Microbial ecology and biodiversity: Enables study of microbial community composition and biodiversity in the Indian Himalayas using 16S rRNA data.
• Taxonomic profiling: Supports taxonomic classification of 16S rRNA amplicon datasets via the RDP classifier.
• Comparative analyses: Facilitates comparison across IHR states, sample categories, and hypervariable regions.
• Meta-analysis and data aggregation: Aggregates published and contributed datasets for meta-analyses and cross-study comparisons.

Methodology:

IHM-DB aggregates datasets from existing databases and publications, and AutoQii2 processes single-end and paired-end 16S rRNA amplicon raw reads performing quality control, adapter trimming, chimera removal, and taxonomic classification using the ribosomal database project (RDP) classifier.