Current progress and future opportunities in applications of bioinformatics for biodefense and pathogen detection: report from the Winter Mid-Atlantic Microbiome Meet-up, College Park, MD, January 10, 2018

Abstract The Mid-Atlantic Microbiome Meet-up (M3) organization brings together academic, government, and industry groups to share ideas and develop best practices for microbiome research. In January of 2018, M3 held its fourth meeting, which focused on recent advances in biodefense, specifically those relating to infectious disease, and the use of metagenomic methods for pathogen detection. Presentations highlighted the utility of next-generation sequencing technologies for identifying and tracking microbial community members across space and time. However, they also stressed the current limitations of genomic approaches for biodefense, including insufficient sensitivity to detect low-abundance pathogens and the inability to quantify viable organisms. Participants discussed ways in which the community can improve software usability and shared new computational tools for metagenomic processing, assembly, annotation, and visualization. Looking to the future, they identified the need for better bioinformatics toolkits for longitudinal analyses, improved sample processing approaches for characterizing viruses and fungi, and more consistent maintenance of database resources. Finally, they addressed the necessity of improving data standards to incentivize data sharing. Here, we summarize the presentations and discussions from the meeting, identifying the areas where microbiome analyses have improved our ability to detect and manage biological threats and infectious disease, as well as gaps of knowledge in the field that require future funding and focus.

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PID https://www.doi.org/10.6084/m9.figshare.c.4291514
PID https://www.doi.org/10.6084/m9.figshare.c.4291514.v1
PID https://www.doi.org/10.15496/publikation-30970
URL http://dx.doi.org/10.6084/m9.figshare.c.4291514
URL http://dx.doi.org/10.15496/publikation-30970
URL http://dx.doi.org/10.6084/m9.figshare.c.4291514.v1
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Author Meisel, Jacquelyn
Author Nasko, Daniel
Author Brubach, Brian
Author Cepeda-Espinoza, Victoria
Author Chopyk, Jessica
Author HĂŠctor Corrada-Bravo
Author Fedarko, Marcus
Author Ghurye, Jay
Author Javkar, Kiran
Author Olson, Nathan
Author Shah, Nidhi
Author Allard, Sarah
Author Bazinet, Adam
Author Bergman, Nicholas
Author Brown, Alexis
Author J. Caporaso
Author Conlan, Sean
Author DiRuggiero, Jocelyne
Author Forry, Samuel
Author Hasan, Nur
Author Kralj, Jason
Author Luethy, Paul
Author Milton, Donald
Author Ondov, Brian
Author Preheim, Sarah
Author Shashikala Ratnayake
Author Rogers, Stephanie
Author M. Rosovitz
Author Sakowski, Eric
Author Schliebs, Nils
Author Sommer, Daniel
Author Ternus, Krista
Author Gherman Uritskiy
Author Zhang, Sean
Author Pop, Mihai
Author Treangen, Todd
Contributor University, My
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Collected From Datacite
Hosted By figshare
Publication Date 2018-01-01
Publisher Figshare
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Language UNKNOWN
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keyword FOS: Biological sciences
system:type other
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Source https://science-innovation-policy.openaire.eu/search/other?orpId=dedup_wf_001::28beeacaf26deb97d3afe00301874405
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Last Updated 18 December 2020, 21:09 (CET)
Created 18 December 2020, 21:09 (CET)