Thakur, P.; Alaba, M.O.; Rauniyar, S.; Singh, R.N.; Saxena, P.; Bomgni, A.; Gnimpieba, E.Z.; Lushbough, C.; Goh, K.M.; Sani, R.K.
Text-Mining to Identify Gene Sets Involved in Biocorrosion by Sulfate-Reducing Bacteria: A Semi-Automated Workflow. Microorganisms 2023, 11, 119.
https://doi.org/10.3390/microorganisms11010119
AMA Style
Thakur P, Alaba MO, Rauniyar S, Singh RN, Saxena P, Bomgni A, Gnimpieba EZ, Lushbough C, Goh KM, Sani RK.
Text-Mining to Identify Gene Sets Involved in Biocorrosion by Sulfate-Reducing Bacteria: A Semi-Automated Workflow. Microorganisms. 2023; 11(1):119.
https://doi.org/10.3390/microorganisms11010119
Chicago/Turabian Style
Thakur, Payal, Mathew O. Alaba, Shailabh Rauniyar, Ram Nageena Singh, Priya Saxena, Alain Bomgni, Etienne Z. Gnimpieba, Carol Lushbough, Kian Mau Goh, and Rajesh Kumar Sani.
2023. "Text-Mining to Identify Gene Sets Involved in Biocorrosion by Sulfate-Reducing Bacteria: A Semi-Automated Workflow" Microorganisms 11, no. 1: 119.
https://doi.org/10.3390/microorganisms11010119
APA Style
Thakur, P., Alaba, M. O., Rauniyar, S., Singh, R. N., Saxena, P., Bomgni, A., Gnimpieba, E. Z., Lushbough, C., Goh, K. M., & Sani, R. K.
(2023). Text-Mining to Identify Gene Sets Involved in Biocorrosion by Sulfate-Reducing Bacteria: A Semi-Automated Workflow. Microorganisms, 11(1), 119.
https://doi.org/10.3390/microorganisms11010119