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Scientific topic
- Genome annotation
- Bioinformatics16
- Biological modelling7
- Biological system modelling7
- Exomes7
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- Genomics7
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- RNA-Seq analysis5
- Small RNA sequencing5
- Small RNA-Seq5
- Small-Seq5
- Transcriptome profiling5
- WTSS5
- Whole transcriptome shotgun sequencing5
- miRNA-seq5
- Biomedical research3
- Chromosome walking3
- Clinical medicine3
- Clone verification3
- DNA-Seq3
- DNase-Seq3
- Exometabolomics3
- Experimental medicine3
- General medicine3
- High throughput sequencing3
- High-throughput sequencing3
- Internal medicine3
- LC-MS-based metabolomics3
- MS-based metabolomics3
- MS-based targeted metabolomics3
- MS-based untargeted metabolomics3
- Mass spectrometry-based metabolomics3
- Medicine3
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- Metabonomics3
- NGS3
- NGS data analysis3
- NMR-based metabolomics3
- Next gen sequencing3
- Next generation sequencing3
- Panels3
- Primer walking3
- Protein interaction map3
- Protein interaction networks3
- Protein interactions3
- Protein interactome3
- Protein-DNA interaction3
- Protein-DNA interactions3
- Protein-RNA interaction3
- Protein-RNA interactions3
- Protein-ligand interactions3
- Protein-nucleic acid interactions3
- Protein-protein interactions3
- Sanger sequencing3
- Sequencing3
- Targeted next-generation sequencing panels3
- Bottom-up proteomics2
- Codon usage2
- DNA chips2
- DNA microarrays2
- Data management2
- Discovery proteomics2
- Expression2
- Gene expression2
- Gene expression profiling2
- Gene transcription2
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- MS-based targeted proteomics2
- MS-based untargeted proteomics2
- Metadata management2
- Metaproteomics2
- Peptide identification2
- Population genomics2
- Protein and peptide identification2
- Proteomics2
- Quantitative proteomics2
- Targeted proteomics2
- Top-down proteomics2
- Transcription2
- Active learning1
- Alternative splicing1
- Bayesian methods1
- Biological models1
- Biological networks1
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Country
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- Australia16
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Target audience
- PhD students1
- Researchers1
- This course is aimed at researchers at any career stage within the University of Pavia and Institute of Molecular Genetics who are working with and/or generating their own genomic and biomolecular datasets. No knowledge of programming is required, but an undergraduate level knowledge of Biology / molecular biology would be beneficial.1
- evolutionary biologists who already have bioinformatics skills. PhD students and Post-Doc researchers will benefit the most out of this course, but applications from all candidates will be evaluated in their context1
- life scientists1
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