Omics Data Analysis Workshop (Alicante)

Date: 06-03-2020 (10:00-14:00, 4 hours)

Location: Universidad de Alicante, Departamento Ciencias del Mar y Biolgía Aplicada. C/ de San Vicente del Raspeig, s/n, 03690 San Vicente del Raspeig, Alicante, Spain

Teachers: 2 Bioinformatics Experts from BioBam Bioinformatics S.L., Valencia, Spain

Language: Presentations in Spanish, Course Material in English

Target Audience (20 max): Biologist with no or little experience in analyzing omics data.

Scope: Introduction to the bioinformatic analysis of omics data in a 1-day workshop with a theoretical (~50%) as well as a practical hands-on session (~50%). We will start with an introduction about the bioinformatic analysis of omic data today. We will discuss in which areas this type of analysis is applied, what data formats are used, considerations and challenges that must be taken into account, and how to obtain and interpret the results. Here, we will present OmicsBox, the BioBam flagship product. OmicsBox is a bioinformatics software solution that allows getting from omics data to biological insights with ease. OmicsBox is structured in modules: Genome Analysis, Transcriptomics, Functional Analysis, and Metagenomics. Each module will be explained in a practical session, in which attendants will be able to perform different analysis with real omic data.

Session 1: Theory

Duration: 10:00 - 12:00

Introduction to Omics Data Analysis

  • The “Omics World” and bioinformatics.

  • Introduction to Bioinformatics

  • Bioinformatics and Sequencing

  • Bioinformatics in Transcriptomics

  • Bioinformatics in Metagenomics

Session 2: Hands-On

Duration: 12:00 - 14:00

Hands-On Guide (intro slides as PDF).

  • Introduction to OmicsBox and BioBam.

  • Introduction to dataset and exercises.

    • RNASeq Data analysis (Raw counts preprocessing → Assembly → Functional Analysis → Expression Quantification → Differential expression analysis → Functional Enrichment Analysis).

    • Metagenomics → (Taxonomic classification → Differential Abundance; Assembly → Gene Prediction → Functional Analysis)

  • Discuss results.

  • Summary and questions.