hts_workshop2019

Hands-on Introduction to Data Analysis for Genomics and Transcriptomics

View the Project on GitHub roblehmann/hts_workshop2019

A Practical Introduction to Data Analysis for Genomics and Transcriptomics - KAUST 2019

Table of Content

About

Genomics and transcriptomics are rapidly becoming standard methods to examine living systems. This workshop provides an introduction to the methods and tools used to analyse next-generation-sequencing data, provides understanding of its limitations and a basic understanding on how the analysis algorithms work. This workshop will take the participants through an example project demonstrating how to evaluate the quality of data as provided by a sequencing facility, how to perform a de-novo genome assembly, and how to align the data against a known and annotated reference genome. Furthermore, participants will learn how to compare transcription data between different samples.

The workshop is scheduled for 18th - 22nd of August, from 9:30 to 17:00, and will consist of seminars intertwined with hands-on sessions and discussions. The course is open for all students, postdocs and research scientists of BESE division.

Major topics to be covered: Genome assembly, Transcriptomics, Visualization and Tips/tricks.

Program

Sunday - 18th of August, Building 5, Level 5, Room 5520: The Tools of Computational Biology

  1. Introduction to programming basics
  2. Utility commands in data management
  3. Common file formats in NGS data
  4. Introduction to High-Performance Computing environment

Monday - 19th of August, Building 5, Level 5, Room 5520: Where do the data come from?

  1. Introduction to Next-Generation-Sequencing
  2. Quality control on raw data
  3. Assembling a small genome sequence

Tuesday - 20th of August, Building 3, Level 5, Room 5520: How to make a genome

  1. Assembly QC
  2. Annotating genes
  3. Using long reads for assembly
  4. Hybrid Assembly QC

Wednesday - 21th of August, Building 3, Level 5, Room 5520: How to quantify transcription

  1. Experimental design and strategies
  2. Data cleaning + mapping
  3. Quantification
  4. Visualization

Thursday - 22th of August, Building 3, Level 5, Room 5520: How to compare transcription between samples

  1. Differential expression
  2. Functional annotation
  3. Alternative splicing
  4. Summary + QA + Recap

Speaker

Location

Contacts