2024 American Society for Microbiology (ASM) Conference On Rapid Applied Microbial Next-Generation Sequencing and Bioinformatic Pipelines

2024 American Society for Microbiology (ASM) Conference On Rapid Applied Microbial Next-Generation Sequencing and Bioinformatic Pipelines is organized by American Society for Microbiology (ASM) and will be held from Oct 13 - 16, 2024 at Hyatt Regency Washington On Capitol Hill, Washington, Dist of Col, United States of America.

Description:
The ASM Conference On Rapid Applied Microbial Next-Generation Sequencing and Bioinformatic Pipelines (ASM NGS) is Dive deep into the hottest topics surrounding next-generation sequencing (NGS) and gain invaluable insights into its groundbreaking applications in the microbial sciences. From unraveling the intricate mysteries of microbial ecology to revolutionizing clinical diagnostics, ASM NGS is paving the way for unprecedented breakthroughs. Don't miss this opportunity to stay ahead in the dynamic world of microbiology and genomics—join us and be part of the conversation driving innovation and progress in the field!

2024 ASM NGS Conference Session Topics:
Epidemiological Cues: NGS in Clinical and Public Health Microbiology
Genomic sequencing and molecular epidemiology are indispensable tools for clinical reference diagnostics, public health surveillance outbreak detection and response. This session will discuss how sequencing is being used in clinical and public health microbiology, and the challenges and successes in implementing these technologies successfully in routine and standard practice.

Bridging Silos:?Exploring Mechanisms for Collecting and Sharing Microbial Genomic Data for Fostering Interoperability
Amassing large microbial genomic datasets has become turnkey. However, collecting rich contextual data, getting these datasets submitted to public or private repositories and extracting slices of these data across projects for broader analyses is still a barrier for advancing this field. This session will explore methods for improving contextual data and creating more interoperability between datasets and repositories.

Secret Ingredient: NGS to Uncover the Role of Microbes in Agricultural and Food Systems
Understanding microbial diversity and function in natural and built environments is critical for enhancing productivity, resilience and health of agricultural and food systems. NGS can uncover the role of microbes in soil, plant and animal health. It can also help pinpoint the origins of contamination events, antimicrobial resistance and other pathogen risks. This session will highlight genomic and microbiome research in environmental, veterinary and food microbiology.

Microbial Chatter: Microbial Ecology in Health and Disease 
Profiling microbial communities and their functional potential in human and animal hosts is critical to our understanding of host-microbe interactions in health and disease. This session will highlight omics approaches to characterize the microbiome and virome in human and animal studies, as well as novel integrative and interaction network analysis methods. This session will also include studies on pathogen genomics.

Pipe Dreams: Analytical Methods, Bioinformatic Tools and Pipelines 
Recent technology advances have made whole-genome sequencing and other sequencing-based assays ubiquitous in modern microbiology. However, this shift in techniques is generating huge volumes of data that require computational analysis. This session covers new analytical methods and bioinformatics tools designed to surf the growing wave of genomic data.

Post-Conference Session
National Center for Biotechnology Information (NCBI) Post-Conference Workshop: Wednesday, Oct. 16, 1-4:30 p.m. ET
This workshop aims to familiarize participants with the tools and components featured in NCBI’s Pathogen Detection Browser and the NCBI Pathogen Detection dataset available on Google Cloud. Attendees will gain insights into the functionality of the Pathogen Detection pipeline, techniques for accessing the data via web interfaces and Google Cloud and proficiency in downloading and executing example analyses utilizing cloud-based data resources.