genome sequencing haixu tang school of informatics

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Genome sequencing Haixu Tang School of Informatics

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Page 1: Genome sequencing Haixu Tang School of Informatics

Genome sequencing

Haixu Tang

School of Informatics

Page 2: Genome sequencing Haixu Tang School of Informatics

Methodology for DNA Sequencing

• The chain termination method (Sanger et al., 1977)

• The chemical degradation method (Maxam and Gilbert, 1977)

Page 3: Genome sequencing Haixu Tang School of Informatics

Chain termination method

Page 4: Genome sequencing Haixu Tang School of Informatics

Polyacrylamide gel electrophoresis

Page 5: Genome sequencing Haixu Tang School of Informatics

Sequencing vectors

Page 6: Genome sequencing Haixu Tang School of Informatics

PCR

Page 7: Genome sequencing Haixu Tang School of Informatics

Sequencing primers

Page 8: Genome sequencing Haixu Tang School of Informatics

Thermal cycle sequencing

Page 9: Genome sequencing Haixu Tang School of Informatics

Automatic DNA

sequencing

Page 10: Genome sequencing Haixu Tang School of Informatics

Pyrosequencing

Page 11: Genome sequencing Haixu Tang School of Informatics

Sequencing by hybridization

Page 12: Genome sequencing Haixu Tang School of Informatics

Whole genome shotgun

sequencing

Page 13: Genome sequencing Haixu Tang School of Informatics

DNA cloning

Page 14: Genome sequencing Haixu Tang School of Informatics

Clone vectors

• Bacteriophage P1 vectors (Sternberg, 1990) can clone larger fragments of DNA, up to 125 kb using current technology.

• Bacterial artificial chromosomes or BACs (Shizuya et al., 1992) can be used to clone fragments of 300 kb and longer.

• P1-derived artificial chromosomes or PACs (Ioannou et al., 1994) combine features of P1 vectors and BACs and have a capacity of up to 300 kb.

• Fosmids (Kim et al., 1992) contain the F plasmid origin of replication and a l cos site. They are less prone to instability problems.

Page 15: Genome sequencing Haixu Tang School of Informatics

Assembly of the complete

Haemophilus influenzae

genome

Page 16: Genome sequencing Haixu Tang School of Informatics

Problems with the shotgun approach

Page 17: Genome sequencing Haixu Tang School of Informatics

Chromosome walking

Page 18: Genome sequencing Haixu Tang School of Informatics

Chromosome walking by PCR

Page 19: Genome sequencing Haixu Tang School of Informatics

Avoiding errors in WGS

Page 20: Genome sequencing Haixu Tang School of Informatics

Scaffolds

Page 21: Genome sequencing Haixu Tang School of Informatics

Human genome project

• 300,000 BACs “sequence-ready” map

• Shotgun sequencing of each BAC

• Order BACs to get the genome sequences