Related Experiment Video
Updated: Jul 8, 2026
11:00
High-throughput Detection of Respiratory Pathogens in Animal Specimens by Nanoscale PCR
Published on: November 28, 2016
12.0K
Management and analysis of high-throughput sequence data for infectious animal diseases
Summary
High-throughput sequencing (HTS) aids infectious animal disease diagnosis but generates vast data. Strategic planning for data storage, analysis, and quality assurance is crucial for effective HTS implementation in animal health.
Area of Science:
- Veterinary Medicine
- Genomics
- Bioinformatics
Background:
- Technological advancements and cost reductions have increased the adoption of high-throughput sequencing (HTS) for diagnosing and characterizing infectious animal diseases.
- HTS offers significant advantages over traditional methods, including rapid results and precise genetic variation detection, vital for tracking disease outbreaks.
Purpose of the Study:
- To provide guidance on data management and analysis considerations for routine implementation of HTS in animal health diagnostics.
- To highlight the importance of strategic planning in bioinformatics for long-term success with HTS data.
Main Methods:
- Review and synthesis of key aspects of data management and analysis relevant to HTS in veterinary diagnostics.
- Categorization of considerations into data storage, data analysis, and quality assurance.
Main Results:
- The large volume of genetic data generated by HTS presents significant storage and analysis challenges.
- Effective HTS implementation requires careful consideration of data storage, analysis pipelines, and quality assurance protocols.
- These elements are interrelated and may require ongoing adaptation as HTS technology evolves.
Conclusions:
- Proactive strategic decisions regarding bioinformatic sequence analysis are essential to mitigate future challenges.
- Implementing HTS for routine animal health diagnostics necessitates a comprehensive approach to data management and analysis.
Related Concept Videos
01:23Investigation of Disease Outbreaks
Multistate foodborne outbreaks pose significant public health risks and require meticulous investigation to identify sources and implement control measures. The Centers for Disease Control and Prevention (CDC) utilizes a dynamic seven-step process for these investigations, integrating data from laboratories, interviews, and environmental assessments to protect public health.Outbreak Detection: The detection of multistate outbreaks typically begins with PulseNet, the CDC's national laboratory...
01:25Rapid Identification of Pathogens
MALDI-TOF MS has transformed clinical microbiology by offering a rapid and reliable method for pathogen identification. The traditional approach to microbial identification typically involves time-consuming culture techniques and biochemical tests, which can delay the initiation of appropriate antimicrobial therapy. MALDI-TOF MS avoids these delays by using characteristic ribosomal protein mass patterns of microbial cells, enabling accurate species-level identification within minutes.Principle...