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

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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 5220: 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 5220: 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 5220: 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 5220: 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 5220: How to compare transcription between samples

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

Speaker

  • Arun Nagarajan, PostDoc at KAUST, is interested in understanding the molecular mechanism of acclimatization to stress by a biological organism using new-age technology.
  • Robert Lehmann, Research Scientist at KAUST, integrates genetic and transcriptomic data to gain insights into genetic responses to stress in established model organisms as well as new marine model organisms.
  • Octavio Salazar Moya, PostDoc at KAUST, is interested in increasing food production, particularly by increasing salt tolerance of plants.
  • Manjula Thimma, Research Scientist at KAUST, is interested in understanding the role of retrotransposons in cell identity, reprogramming and differentiation.
  • Alaguraj Veluchamy, Research Scientist at KAUST, is interested in TBA

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TBA

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Hands-on Introduction to Data Analysis for Genomics and Transcriptomics

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