Training materials
Scientific topics: Microbial physiology
and Difficulty level: Not specified
and Authors: bioinformatics.ca
4 materials found
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Scientific topic
- Microbial physiology
- Antimicrobial stewardship4
- Chromosome walking4
- Clone verification4
- DNA-Seq4
- DNase-Seq4
- High throughput sequencing4
- High-throughput sequencing4
- Medical microbiology4
- Metagenomics4
- Microbial genetics4
- Microbial surveillance4
- Microbiological surveillance4
- Microbiology4
- Molecular infection biology4
- Molecular microbiology4
- NGS4
- NGS data analysis4
- Next gen sequencing4
- Next generation sequencing4
- Panels4
- Primer walking4
- Sanger sequencing4
- Sequencing4
- Shotgun metagenomics4
- Targeted next-generation sequencing panels4
- Comparative transcriptomics3
- MicroRNA sequencing3
- RNA sequencing3
- RNA-Seq3
- RNA-Seq analysis3
- Small RNA sequencing3
- Small RNA-Seq3
- Small-Seq3
- Transcriptome3
- Transcriptome profiling3
- Transcriptomics3
- WTSS3
- Whole transcriptome shotgun sequencing3
- miRNA-seq3
- Epidemiology2
- Public health2
- Public health and epidemiology2
- R2
- R program2
- R script2
- Active learning1
- ChIP-exo1
- ChIP-seq1
- ChIP-sequencing1
- Chip Seq1
- Chip sequencing1
- Chip-sequencing1
- DNA methylation1
- Ensembl learning1
- Epigenetics1
- Exomes1
- Exometabolomics1
- Genome annotation1
- Genomes1
- Genomics1
- Histone modification1
- Kernel methods1
- Knowledge representation1
- LC-MS-based metabolomics1
- MS-based metabolomics1
- MS-based targeted metabolomics1
- MS-based untargeted metabolomics1
- Machine learning1
- Mass spectrometry-based metabolomics1
- Metabolites1
- Metabolome1
- Metabolomics1
- Metabonomics1
- Methylation profiles1
- NMR-based metabolomics1
- Neural networks1
- Personal genomics1
- Recommender system1
- Reinforcement learning1
- Single-cell genomics1
- Single-cell sequencing1
- Supervised learning1
- Synthetic genomics1
- Unsupervised learning1
- Viral genomics1
- Whole genomes1
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Content provider
- Glittr.org4
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Difficulty level
- Not specified
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Contributor
- bioinformatics.ca4
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