The Technology Core will support all four Research Projects by providing a broad range of next-generation sequencing and data analysis capabilities. Core functions are divided into sequencing, primary data analysis, and comparative analysis. Sequencing strategies will include whole genome and targeted sequencing, transcriptome profiling by RNA-seq, rRNA profiling, and metagenomic and metatranscriptomic sequencing. Six different sequencing instrument platforms will be used including lllumina MiSeq and HiSeq, lon Torrent, ABI 3730x1, 454 FLX+, and Pacific Biosciences RSH. Sample tracking is managed throughout the process and extensive quality assessment is performed to maximize the yield of usable information. Ongoing evaluation of new methods will enable implementation of new approaches for library construction and sequencing, increase efficiency and lower costs. Automated pipelines are in place to handle most assembly, variant detection, and annotation tasks. Data analysis methods will be improved throughout the project to increase automation, improve results by incorporating new analytical methods, and provide more readily shared software, Comparative analysis will leverage PanOCT to identify shared and strain/clade-specific genome features. New methods will be developed for metatranscriptome analysis that enable quantitative comparisons between samples with and without reference genomes or metagenomes. The results of the Core will provide Research Projects with analyzed data that is suitable for further integrative analysis and interpretation. The Technology Core will work closely with the Data Management, Analysis and Resource Dissemination (DMARD) Core to ensure prompt submission of sequence data, clones, and software tools to the appropriate public repositories.

Public Health Relevance

The Technology Core provides high-throughput DNA and RNA sequencing in support of diverse projects related to infectious disease pathogens and host interactions. Sequence assembly, gene annotation, and analysis to compare genomes will provide datasets to the Research Projects for interpretation of experiments related to genetic variation, evolution, and genome function.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Program--Cooperative Agreements (U19)
Project #
1U19AI110819-01
Application #
8711785
Study Section
Special Emphasis Panel (ZAI1-EC-M (J1))
Project Start
Project End
Budget Start
2014-04-04
Budget End
2015-03-31
Support Year
1
Fiscal Year
2014
Total Cost
$1,239,523
Indirect Cost
$580,202
Name
J. Craig Venter Institute, Inc.
Department
Type
DUNS #
076364392
City
Rockville
State
MD
Country
United States
Zip Code
20850
Tan, Yi; Tsan-Yuk Lam, Tommy; Heberlein-Larson, Lea A et al. (2018) Large scale complete genome sequencing and phylodynamic analysis of eastern equine encephalitis virus reveal source-sink transmission dynamics in the United States. J Virol :
Nyaga, Martin M; Tan, Yi; Seheri, Mapaseka L et al. (2018) Whole-genome sequencing and analyses identify high genetic heterogeneity, diversity and endemicity of rotavirus genotype P[6] strains circulating in Africa. Infect Genet Evol 63:79-88
Clarke, Thomas H; Brinkac, Lauren M; Inman, Jason M et al. (2018) PanACEA: a bioinformatics tool for the exploration and visualization of bacterial pan-chromosomes. BMC Bioinformatics 19:246
Ogden, Kristen M; Tan, Yi; Akopov, Asmik et al. (2018) Multiple introductions and antigenic mismatch with vaccines may contribute to increased predominance of G12P[8] rotaviruses in the United States. J Virol :
Ismail, Ashrafali M; Cui, Tiange; Dommaraju, Kalpana et al. (2018) Genomic analysis of a large set of currently-and historically-important human adenovirus pathogens. Emerg Microbes Infect 7:10
Tan, Yi; Pickett, Brett E; Shrivastava, Susmita et al. (2018) Differing epidemiological dynamics of Chikungunya virus in the Americas during the 2014-2015 epidemic. PLoS Negl Trop Dis 12:e0006670
Moser, Lindsey A; Oldfield, Lauren M; Fedorova, Nadia et al. (2018) Whole-Genome Sequences of Zika Virus FLR Strains after Passage in Vero or C6/36 Cells. Genome Announc 6:
Moser, Lindsey A; Boylan, Brendan T; Moreira, Fernando R et al. (2018) Growth and adaptation of Zika virus in mammalian and mosquito cells. PLoS Negl Trop Dis 12:e0006880
Becka, Scott A; Zeiser, Elise T; Barnes, Melissa D et al. (2018) Characterization of the AmpC ?-Lactamase from Burkholderia multivorans. Antimicrob Agents Chemother 62:
Rosas-Salazar, Christian; Shilts, Meghan H; Tovchigrechko, Andrey et al. (2018) Nasopharyngeal Lactobacillus is associated with a reduced risk of childhood wheezing illnesses following acute respiratory syncytial virus infection in infancy. J Allergy Clin Immunol 142:1447-1456.e9

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