2018
DOI: 10.1186/s40168-018-0582-5
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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 … Show more

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Cited by 7 publications
(3 citation statements)
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References 52 publications
(33 reference statements)
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“…The result is the taxonomic analysis of the organisms recovered from the lettuce and speciation of the microbial contaminant inferred from the contigs assembled from DNA fragments generated from extracts from the surface of the lettuce. For approach (d), unassembled sequence reads were directly analyzed by CosmosID metagenomic software as described elsewhere (Meisel et al, 2018;Yan et al, 2019) to reveal taxonomic composition of the community. Briefly, the system utilizes a high performance data-mining k-mer algorithm and highly curated dynamic comparator databases (GenBook R ) that rapidly disambiguate millions of short reads into the discrete genomes or genes engendering the particular sequences.…”
Section: Bioinformatics Analysis: Detection Of Salmonella Genome Markmentioning
confidence: 99%
“…The result is the taxonomic analysis of the organisms recovered from the lettuce and speciation of the microbial contaminant inferred from the contigs assembled from DNA fragments generated from extracts from the surface of the lettuce. For approach (d), unassembled sequence reads were directly analyzed by CosmosID metagenomic software as described elsewhere (Meisel et al, 2018;Yan et al, 2019) to reveal taxonomic composition of the community. Briefly, the system utilizes a high performance data-mining k-mer algorithm and highly curated dynamic comparator databases (GenBook R ) that rapidly disambiguate millions of short reads into the discrete genomes or genes engendering the particular sequences.…”
Section: Bioinformatics Analysis: Detection Of Salmonella Genome Markmentioning
confidence: 99%
“…To address the topic Predictions and the Microbiome and promote additional discussions around predictive analysis, we organized the Mid-Atlantic Microbiome Meet-up (M 3 ) 2019 meeting at Johns Hopkins University. M 3 was started in 2016 at the University of Maryland College Park (spearheaded by Todd Treangen and Mihai Pop) and has spurred discussion and interactions on a variety of topics of general interest to microbiome research, including biodefense and pathogen detection (6) and metagenomic software validation (7). M 3 conferences have also provided an excellent venue to catalyze interactions across clinical, environmental, and computational microbiome fields.…”
Section: Perspectivementioning
confidence: 99%
“…Through an algorithmic simulation, accurate and fast research results can be obtained and only requires a small fee [10]. Furthermore, bioinformatic has also been widely applied and closely related to the biodefense [11], bioterrorism, and bioweapon research such as the bioweapon identification, detection (biosensors) development, as well as the development of vaccines and drugs from bioweapons [12]. This research aimed to identify plants derived compounds that commonly found in Indonesia as ricin and abrin inhibitors.…”
Section: Introductionmentioning
confidence: 99%