Ocean Read Atlas
Ocean Read Atlas enables rapid, high-precision indexing and querying of metagenomic sequences from the Tara Oceans dataset using kmindex to support comparative and spatial analyses.
Key Features:
- Efficient Indexing and Querying: Uses kmindex to construct sequence indexes an order of magnitude faster than previous methods and execute searches in a fraction of a second, up to two orders of magnitude faster than existing technologies.
- High Precision: Achieves false positive rates below 0.01% and represents a fourfold increase in precision over current methodologies.
- Scalability: kmindex has been used to index 1,393 marine seawater metagenome samples from the Tara Oceans project.
- Real-Time Querying: Provides real-time query capabilities on the Tara Oceans dataset.
- Geographic Visualization: Enables visualization of sequence search results on geographic maps and correlation with environmental variables collected during the Tara Oceans circumnavigation campaign.
Scientific Applications:
- Marine genomics: Facilitates metagenomic surveys by enabling rapid sequence-level searches across Tara Oceans datasets.
- Microbial diversity: Supports studies of microbial diversity through detection and comparison of sequences across samples.
- Ecosystem function: Enables investigation of ecosystem function by linking sequence presence to environmental contexts.
- Environmental associations: Supports correlation of sequence data with environmental variables to study organismal responses and adaptation across ocean regions.
Methodology:
Index construction and sequence querying are performed using kmindex; an index was built for 1,393 Tara Oceans marine seawater metagenome samples, with reported index construction speed gains of ~10× and query speed gains of ~100× versus prior methods, and measured false positive rates below 0.01%.
Topics
Details
- License:
- Freeware
- Maturity:
- Emerging
- Cost:
- Free of charge
- Tool Type:
- api
- Operating Systems:
- Linux, Mac, Windows
- Added:
- 3/6/2024
- Last Updated:
- 11/24/2024
Operations
Publications
Lemane T, Lezzoche N, Lecubin J, Pelletier E, Lescot M, Chikhi R, Peterlongo P. Indexing and real-time user-friendly queries in terabyte-sized complex genomic datasets with kmindex and ORA. Nature Computational Science. 2024;4(2):104-109. doi:10.1038/s43588-024-00596-6. PMID:38413777.
Documentation
Downloads
- Source codehttps://gitlab.osupytheas.fr/ocean_atlas/ora