Introduction to NGS technologies - Bioinformatics and Genomics ...

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SOLiD * Sequencing output in “color space” * Needs reference genome <strong>to</strong> translate <strong>to</strong> base space.
SOLiD From Michael Metzker, http://view.ncbi.nlm.nih.gov/pubmed/19997069
Page 1 and 2: Introduction to NGS Technologies Ja
Page 3: Genetic Research …code for protei
Page 6 and 7: The aim: Extracting as much informa
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: SOLiD
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
Page 63 and 64: Basic steps NGS data processing QC
Page 65 and 66: 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
Page 95 and 96:
SEQUENCING LAB
Page 97 and 98:
High Performance Computing Cluster
Page 99 and 100:
Services at CASEGH
Page 101 and 102:
The MGP Scope and Aims • Medical
Page 103 and 104:
Exome capture • Focus on the Most
Page 105 and 106:
Normalized coverage Exome capture r
Page 107 and 108:
Bioinformatic analysis Primary anal
Page 109 and 110:
New Variation Types
Page 111 and 112:
The principle: comparison of patien
Page 113 and 114:
The principle: comparison of patien
Page 115 and 116:
Filtering with multiple family info
Page 117 and 118:
NGS is revolutionizing how we do ge
Page 119 and 120:
NGS is revolutionizing how we do ge
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