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OpenLearning

Transcriptomics: Principles and Applications

via OpenLearning

Overview

References

Agostino, M. 2013. Practical Bioinformatics. Garland Science.

Buffulo, V. 2015. Bioinformatics Data Skills: Reproducible and Robust Research with Open Source Tools. O'Reilly Media.

Korpelainen, E. et al. 2014. RNA-seq Data Analysis: A Practical Approach. Chapman and Hall.

Low, L & Tammi, M. 2017. A Practical Handbook of Next Generation Sequencing and Its Applications. World Scientific.

Passos, G.A. (Ed). 2014. Transcriptomics in Health and Disease. Springer.

Syllabus

  • Describe the concepts of transcriptomics in the context of functional genomics
  • Identify the latest and emerging technologies in the field of transcriptomics
  • Explain the standard workflow of transcriptomic analysis
  • Describe the different applications of transcriptomics with specific examples
  • Evaluate the different analytical approaches for different applications of transcriptomics
  • Design a detailed workflow for a transcriptomics research project
  • Discuss the challenges and future development of transcriptomics

Taught by

INBIOSIS

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