Tapir
Tapir CBS performs reference-free identification of candidate reference DNAs by querying a server-hosted index with samples of sequencing reads to support organism identification and downstream analyses in contexts such as infectious disease, food safety, bioreactor management, and environmental monitoring.
Key Features:
- Reference-Free Analysis: Identifies potential reference genomes for unidentified sequencing reads without requiring a predefined reference.
- Distributed Architecture: Uses a client–server model where the client sends a sample of raw reads to a server that hosts an index of known reference DNAs and returns matching candidates.
- Efficient Data Transfer: Transfers only a small subset of reads between client and server to minimize bandwidth usage.
- Indexed Public Genomes: Server indexes tens of thousands of publicly available genomes and genomic regions from diverse organisms for candidate matching.
- Client Implementations: Offers two client implementations: a browser-accessible client and a Python script for dataset processing.
- Automated Processing and Quality Check: Supports automated sequencing data processing and provides instant quality checks for sequencing runs from desktop sequencers.
Scientific Applications:
- Infectious Disease Surveillance: Tracking pathogens in clinical or environmental samples by identifying matching reference sequences.
- Food Safety Assurance: Monitoring food products for contamination by pathogenic microorganisms through reference matching.
- Bioreactor Optimization: Analyzing microbial communities within bioreactors by identifying constituent organisms from sequencing reads.
- Environmental Studies: Identifying and cataloging biodiversity from complex environmental samples using reference candidates returned by the server.
Methodology:
The client sends a sample of unidentified sequencing reads to the server, the server returns a list of potential matching reference sequences, and those reference sequences can be downloaded for further computational analyses such as alignment.
Topics
Details
- Maturity:
- Emerging
- Cost:
- Free of charge (with restrictions)
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 1/21/2015
- Last Updated:
- 11/25/2024
Operations
Publications
Gautier L, Lund O. Low-Bandwidth and Non-Compute Intensive Remote Identification of Microbes from Raw Sequencing Reads. PLoS ONE. 2013;8(12):e83784. doi:10.1371/journal.pone.0083784. PMID:24391826. PMCID:PMC3877093.