- Page 1 and 2: Introduction to NGS Technologies Ja
- Page 3: Genetic Research …code for protei
- Page 8 and 9: Next Generation Sequencing 600 Gbp
- Page 10 and 11: History of DNA Sequencing 1 15 150
- Page 12 and 13: Pre & Post-genomic databases EMBL d
- Page 14 and 15: Pre & Post-genomic databases EMBL d
- Page 17 and 18: Relative throughput of the differen
- Page 19 and 20: Basics of the “old” technology
- Page 21 and 22: Whole Genome RNA Communities Sanger
- Page 23 and 24: Differences between the various pla
- Page 25 and 26: Similarities- LOTS of DATA General
- Page 27 and 28: 3 main platforms: - Solexa/illumina
- Page 29 and 30: Roche 454 pyrosequencing
- Page 31 and 32: Roche / 454 : GS FLX • Good for
- Page 33 and 34: GS Junior, benchtop
- Page 35 and 36: Solexa / illumina From Michael Metz
- Page 37 and 38: Solexa / illumina From Debbie Nicke
- Page 39 and 40: Illumina-MiSeq 175-245 Mb 4h 1x 36b
- Page 41 and 42: SOLiD
- Page 43: SOLiD From Michael Metzker, http://
- Page 46 and 47: SOLiD_Dibase_Sequencing_and_Color_S
- Page 49 and 50: AB SOLiD: Dibase Sequencing AB SOLi
- Page 51 and 52: AB SOLiD: Dibase Sequencing AB SOLi
- Page 53 and 54: 5500XL SOLiD 200 Gb/run (microbeads
- Page 55 and 56: PacBio From Michael Metzker, http:/
- Page 57 and 58:
Ion Torrent $ 50.000 $ 500 /sample
- Page 59 and 60:
OXFORD NANOPORE The MinION is a mem
- Page 61 and 62:
Basic steps NGS data processing QC
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Basic steps NGS data processing QC
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File formats fastq: sequence data a
- Page 67 and 68:
DNA sequencing - 1 • Whole GENOME
- Page 69 and 70:
DNA sequencing - 3 • Whole EXOME
- Page 71 and 72:
DNA sequencing - 5 • Amplicon seq
- Page 73 and 74:
Transcriptomics - 1 • RNA-Seq - S
- Page 75 and 76:
Applications of RNAseq Qualitative:
- Page 77 and 78:
Advantages of RNAseq? RNAseq microa
- Page 79 and 80:
TFBS detection ChIP-Seq - Identific
- Page 81 and 82:
Egigenomics - 2 • Methyl-Seq - Cp
- Page 83 and 84:
Metagenomics The application of mod
- Page 85:
Successful NGStories
- Page 91 and 92:
Species composition of metagenomic
- Page 93 and 94:
Andalusian Human Genome Sequencing
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SEQUENCING LAB
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High Performance Computing Cluster
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Services at CASEGH
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The MGP Scope and Aims • Medical
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Exome capture • Focus on the Most
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Normalized coverage Exome capture r
- Page 107 and 108:
Bioinformatic analysis Primary anal
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New Variation Types
- Page 111 and 112:
The principle: comparison of patien
- Page 113 and 114:
The principle: comparison of patien
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Filtering with multiple family info
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NGS is revolutionizing how we do ge
- Page 119 and 120:
NGS is revolutionizing how we do ge