Bioinformatics Approaches to the Understanding of Molecular Mechanisms in Antimicrobial Resistance.

Van Camp, Pieter-Jan; Haslam, David B; Porollo, Aleksey

Van Camp, Pieter-Jan; Haslam, David B; Porollo, Aleksey.

Affiliation

Van Camp PJ; Department of Biomedical Informatics, University of Cincinnati, Cincinnati, OH 45267, USA.
Haslam DB; Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.
Porollo A; Division of Infectious Diseases, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.

Int J Mol Sci ; 21(4)2020 Feb 18.

Article in En | MEDLINE | ID: mdl-32085478

Subject(s)

Computational Biology/methods; Drug Resistance, Bacterial/genetics; Animals; Anti-Bacterial Agents/pharmacology; Drug Resistance, Bacterial/drug effects; Gene Expression Regulation, Bacterial/drug effects; Humans; Metabolomics

Key words

antibiotic resistance genes; antimicrobial resistance; bioinformatic analysis; molecular mechanisms; prediction of antibiotic resistance

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Computational Biology / Drug Resistance, Bacterial Limits: Animals / Humans Language: En Journal: Int J Mol Sci Year: 2020 Document type: Article Affiliation country: United States Country of publication: Switzerland

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