AIMC Topic: Genome, Bacterial
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Victors: a web-based knowledge base of virulence factors in human and animal pathogens.
Nucleic acids research
Jan 8, 2019
Virulence factors (VFs) are molecules that allow microbial pathogens to overcome host defense mechanisms and cause disease in a host. It is critical to study VFs for better understanding microbial pathogenesis and host defense mechanisms. Victors (ht...
A pan-genome-based machine learning approach for predicting antimicrobial resistance activities of the Escherichia coli strains.
Bioinformatics (Oxford, England)
Jul 1, 2018
MOTIVATION: Antimicrobial resistance (AMR) is becoming a huge problem in both developed and developing countries, and identifying strains resistant or susceptible to certain antibiotics is essential in fighting against antibiotic-resistant pathogens....
MetaVW: Large-Scale Machine Learning for Metagenomics Sequence Classification.
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2018
Metagenomics is the study of microbial community diversity, especially the uncultured microorganisms by shotgun sequencing environmental samples. As the sequencers throughput and the data volume increase, it becomes challenging to develop scalable bi...
GI-SVM: A sensitive method for predicting genomic islands based on unannotated sequence of a single genome.
Journal of bioinformatics and computational biology
Feb 1, 2016
Genomic islands (GIs) are clusters of functionally related genes acquired by lateral genetic transfer (LGT), and they are present in many bacterial genomes. GIs are extremely important for bacterial research, because they not only promote genome evol...
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