Introduction to NGS technologies - Bioinformatics and Genomics ...

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SOLiD_Dibase_Sequencing_<strong>and</strong>_Color_Space_Analysis.pdf
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 and 42: SOLiD
Page 43: SOLiD From Michael Metzker, http://
Page 47: SOLiD color space SOLiD_Dibase_Sequ
Page 50 and 51: AB SOLiD: Dibase Sequencing AB SOLi
Page 52 and 53: AB SOLiD: Variations SOLiD_Dibase_S
Page 54 and 55: SOLiD 5500 *Sixth 3-based encoded p
Page 56 and 57: Pacific Bioscience SMRT: Singel Mol
Page 58 and 59: Ion Proton
Page 60 and 61: Comparison Roche 454 Illumina SOLiD
Page 62 and 63: Basic steps NGS data processing QC
Page 64 and 65: Basic steps NGS data processing QC
Page 66 and 67: Most common applications of NGS RNA
Page 68 and 69: DNA sequencing - 2 • Whole GENOME
Page 70 and 71: • Targeted Resequencing - Capture
Page 72 and 73: Transcriptomics - 1 • RNA-Seq - S
Page 74 and 75: Transcriptomics - 2 • SAGE. Seria
Page 76 and 77: Applications of RNAseq Qualitative:
Page 78 and 79: Transcriptomics - 3 • miRNA/small
Page 80 and 81: Egigenomics - I Epigenomics refers
Page 82 and 83: Egigenomics - 2 MeDIP-Seq, methylat
Page 84 and 85: Census NGS methods
Page 88: Miller syndrome
Page 92 and 93: No so far…. Sequencing Centers
Page 94 and 95:
CASEGH
Page 96 and 97:
Two technologies to scan for variat
Page 98 and 99:
Bioinformatics Unit 24 High Perform
Page 100 and 101:
The Medical Genome Project (MGP) Pu
Page 102 and 103:
The MGP Scope and Aims • Medical
Page 104 and 105:
Normalized coverage Exome capture r
Page 106 and 107:
Exome sequencing work-flow for Vari
Page 108 and 109:
SNPs distribution across samples
Page 110 and 111:
Secondary analysis: Finding the mut
Page 112 and 113:
The principle: comparison of patien
Page 114 and 115:
Is this approach realistic? Can we
Page 116 and 117:
Clear individual gene associations
Page 118 and 119:
NGS is revolutionizing how we do ge
Page 120:
THANK YOU
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