Cupples, Alison M., Li, Zheng, Wilson, Fernanda Paes, Ramalingam, Vidhya, and Kelly, Allison. In silico analysis of soil, sediment and groundwater microbial communities to predict biodegradation potential. Retrieved from https://par.nsf.gov/biblio/10464364. Journal of Microbiological Methods 202.C Web. doi:10.1016/j.mimet.2022.106595.

Cupples, Alison M., Li, Zheng, Wilson, Fernanda Paes, Ramalingam, Vidhya, & Kelly, Allison. In silico analysis of soil, sediment and groundwater microbial communities to predict biodegradation potential. Journal of Microbiological Methods, 202 (C). Retrieved from https://par.nsf.gov/biblio/10464364. https://doi.org/10.1016/j.mimet.2022.106595

Cupples, Alison M., Li, Zheng, Wilson, Fernanda Paes, Ramalingam, Vidhya, and Kelly, Allison. "In silico analysis of soil, sediment and groundwater microbial communities to predict biodegradation potential". Journal of Microbiological Methods 202 (C). Country unknown/Code not available. https://doi.org/10.1016/j.mimet.2022.106595. https://par.nsf.gov/biblio/10464364.

@article{osti_10464364,
place = {Country unknown/Code not available}, title = {In silico analysis of soil, sediment and groundwater microbial communities to predict biodegradation potential}, url = {https://par.nsf.gov/biblio/10464364}, DOI = {10.1016/j.mimet.2022.106595}, abstractNote = {}, journal = {Journal of Microbiological Methods}, volume = {202}, number = {C}, author = {Cupples, Alison M. and Li, Zheng and Wilson, Fernanda Paes and Ramalingam, Vidhya and Kelly, Allison}, }