The objective is to train the students into the bioinformatics analysis of –omics sequence data and write the correspondent reports. At the end of the course, the students will have analysed –omics datasets using R and will be familiar with annotation and statistical tools typically used in –omics data analysis.
The course will start with an introduction to programming languages (R, perl) and statistics concepts used frequently in genomics, and transcriptomics analyses. The rest of the course will consists on the presentation of –omics techniques with examples from published data.
- Introduction to R
- Introduction to Perl.
- Basis of biostatistical tools: theoretical background and examples
- Sequence analysis, taxonomy, gene ontology on local programs and databases = GENES AND PROTEINS
- Genome assembly and annotation = GENOMES
- Comparative genomics = GENOMES
- Biological Networks
- -OMICS (ChIPseq, RNAseq, genes set enrichment) and Meta-OMICS
The evaluation will consist on the presentation of exercises previously assigned.
| Training | Study programme | Block | Credits | Mandatory |
|---|---|---|---|---|
| Master 120 in molecular microbiology, research focus | Standard | 0 | 4 | |
| Master 120 in molecular microbiology, research focus | Standard | 1 | 4 |