Lecture TÖ-1

Next Generation Sequencing

Aims

• To introduce the most common next generation sequencing (NGS) techniques and their applications.
• To give an overview of bioinformatics methods for handling large-scale NGS data.

Objectives

After this lecture you will be able to:

• describe how high-throughput sequencing works, and the common NGS platforms;
• discuss some applications of next generation sequencing in genomics, transcriptomics and metagenomics, and the challenges associated with data handling and analysis;
• describe quality control, assembly and alignment of next generation sequencing reads.

Supplementary Material

Lecture slides

References

• Goodwin, S., McPherson J.D. and McCombie, W.R. (2016) Coming of age: ten years of next-generation sequencing technologies. Nature Reviews Genetics, 17, 333-351 doi:10.1038/nrg.2016.49
• Levy, S.E., and Myers, R.M. (2016) Advancements in next-generation sequencing. Annual review of genomics and human genetics, 17, 95-115 doi:10.1146/annurev-genom-083115-022413
• Berger, B., Peng, J. and Singh, M. (2013) Computational solutions for omics data. Nature Reviews Genetics, 14, 333-346 doi:10.1038/nrg3433