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Text-Mining to Identify Gene Sets Involved in Biocorrosion by Sulfate-Reducing Bacteria: A Semi-Automated Workflow.
Microorganisms. 2023 Jan 3;11(1):119. doi: 10.3390/microorganisms11010119.
Microorganisms. 2023.
PMID: 36677411
Free PMC article.
BASIN: A Semi-automatic Workflow, with Machine Learning Segmentation, for Objective Statistical Analysis of Biomedical and Biofilm Image Datasets.
Hartman TW, Radichev E, Ali HM, Alaba MO, Hoffman M, Kassa G, Sani R, Gadhamshetty V, Ragi S, Messerli SM, de la Puente P, Sandhurst ES, Do T, Lushbough C, Gnimpieba EZ.
Hartman TW, et al. Among authors: alaba mo.
J Mol Biol. 2023 Jan 30;435(2):167895. doi: 10.1016/j.jmb.2022.167895. Epub 2022 Dec 1.
J Mol Biol. 2023.
PMID: 36463932
Free PMC article.
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Integration of text mining and biological network analysis: Identification of essential genes in sulfate-reducing bacteria.
Saxena P, Rauniyar S, Thakur P, Singh RN, Bomgni A, Alaba MO, Tripathi AK, Gnimpieba EZ, Lushbough C, Sani RK.
Saxena P, et al. Among authors: alaba mo.
Front Microbiol. 2023 Apr 13;14:1086021. doi: 10.3389/fmicb.2023.1086021. eCollection 2023.
Front Microbiol. 2023.
PMID: 37125195
Free PMC article.
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