AgroSeek: A system for computational analysis of environmental metagenomic data and associated metadata
Metagenomics is gaining attention as a powerful tool for identifying how agricultural management practices influence human and animal health, especially in terms of potential to contribute to the spread of antibiotic resistance. However, the ability to compare the distribution and prevalence of antibiotic resistance genes (ARGs) across multiple studies and environments is currently impossible without a complete re-analysis of published datasets. This challenge must be addressed for metagenomics to realize its potential for helping guide effective policy and practice measures relevant to agricultural ecosystems, for example, identifying critical control points for mitigating the spread of antibiotic resistance.
- Date of publication:
- March 10, 2021
- Issue Number:
- Article No. 117
- Publication note:
Xiao Liang, Kyle Akers, Ishi Keenum, Lauren Wind, Suraj Gupta, Chaoqi Chen, Reem Aldaihani, Amy Pruden, Liqing Zhang, Katharine F. Knowlton, Kang Xia, Lenwood S. Heath: AgroSeek: a system for computational analysis of environmental metagenomic data and associated metadata. BMC Bioinform. 22(1): 117 (2021)