4th Version bioinformatics workshop. Intensive in R/Bioconducor and Cytoscape

4th Version bioinformatics workshop. Intensive in R/Bioconducor and Cytoscape

The overall objective of this workshop is to empower his assistants in the understanding of omics technologies and different methods of analysis that represents this type of data, using alternatives of softwares free as "R/Bioconductor" and "Cytoscape". This will be achieved through understanding fully of the workflow involved in each technology, to finally get results whose biological interpretation is charged with meaning and allows correct decision making.

Session 1: Monday, November 19

  1. Statistics for Bioinformatics basics:
  • Classical statistics: null hypothesis, alternative hypothesis, p-values.
  • Bayesian statistics: a posteriori probability and decision theory.
  • Machine Learning in Bioinformatics: Clustering, Heatmaps, PCA, t-SNE.
  • Introduction to R/Bioconductor.

Session 2: Monday, December 03

  1. Massive sequencing and Transcriptomics:
  • Massive sequencing and single molecule technologies.
  • Transcriptomics: Microarrays, RNA-seq and single-cell sequencing.
  • Practical in R/Bioconductor: statistical analysis of differential expression from RNA-seq data. PCA, Clustering, Heatmaps, and graphics of differentially expressed genes.

Session 3: Monday, December 10

  1. Statistical analysis of results differential post-expression part I:
  • Statistical analysis of biological pathways.
  • Application of functional annotation databases: Gene Ontology (GO), KEGG.
  • Practical in R/Bioconductor: analysis of enrichment of biological processes, molecular function, cellular components (GO) and biological pathways (KEGG). Graphics of enrichments.
  • Practical in Cytoscape: introduction to Cytoscape. Analysis of enrichment. Views and customization of graphics.

Session 4: Monday, December 17

  1. Statistical analysis of results differential post-expression part II:
  • Statistical analysis of biological networks.
  • Co-expression networks. Protein-protein interaction networks.
  • Search in silico e Vivo (ChIP-seq) sites of transcription factors. Gene regulatory networks.
  • Practical in R/Bioconductor and Cytoscape. Transcriptomic will be calculated from data: co-expression networks, protein-protein interaction, Clustering and subnets. Search for microRNAs and transcription factors binding sites.

Session 5: Date to be confirmed

  1. Introduction to the Microbiota statistical analysis:
  • Applications of molecular markers: 16/18S.
  • Operational Taxonomic Unit (OTU) versus Amplicon Sequence Variant (ASV).
  • Workflow: Experimental design, trimming and filtering of FASTQ file, mapping species, building phylogenetic tree, statistical analysis of diversity and composition of communities.
  • Practical in R/Bioconductor, Cytoscape: using files FASTQ public will take place the complete analysis workflow.

Registration cost: $100,000. Total cost for 5 sessions (15 hours).

Invoice is delivered if it is required.

Registration and more information: goo.gl/SsaVti