Selected article for: "data set and metagenomic analysis"

Author: Andres S. Espindola; William Schneider; Kitty F. Cardwell; Yisel Carrillo; Peter R. Hoyt; Stephen M. Marek; Hassan Melouk; Carla D. Garzon
Title: Inferring the presence of aflatoxin-producing Aspergillus flavus strains using RNA sequencing and electronic probes as a transcriptomic screening tool
  • Document date: 2018_7_9
  • ID: hdwn2fkj_14
    Snippet: EDNAtran was able to find statistically significant differences between the transcriptomic 267 data set of the highly toxigenic sample, from the non-toxigenic samples, using 231 e-268 probes generated in this study. 269 Inspectors at international ports require a rapid detection method when decisions need 285 to be done on site. EDNA has been considered a good candidate to be used as a 286 diagnostic tool in ports of entry, due to its multiplexin.....
    Document: EDNAtran was able to find statistically significant differences between the transcriptomic 267 data set of the highly toxigenic sample, from the non-toxigenic samples, using 231 e-268 probes generated in this study. 269 Inspectors at international ports require a rapid detection method when decisions need 285 to be done on site. EDNA has been considered a good candidate to be used as a 286 diagnostic tool in ports of entry, due to its multiplexing capacity and rapidness. Yet, 287 EDNA does not include an analysis of pathogen viability. If DNA-based detection 288 (metagenomic analysis) is positive and viability needs to be addressed, the use of 289 additional tests is not a viable approach for perishable or time-sensitive shipments. 290

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