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Introduction to Illumina Sequencing

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Presentation on theme: "Introduction to Illumina Sequencing"— Presentation transcript:

1 Introduction to Illumina Sequencing
Day 1, Video 2 Overview of Next-gen sequencing Introduction to Illumina sequencing Multiplexing Sequencing run statistics

2 Next-Gen Sequencing Millions of reactions performed in parallel
Shorter read lengths, higher error rate Sample/library prep is required Many different approaches Illumina sequencing-by-synthesis (Solexa technology) Roche 454 pyrosequencing AB SOLID color-based sequencing by ligation Ion Torrent semiconductor sequencing Single-molecule sequencing (PacBio, MinION, etc)

3 Some general terminology
SR: single-read sequencing, sequence from only one end PE: paired-end sequencing, sequence from both ends Adapters: DNA added to the ends of DNA/RNA fragments to be sequenced. The adapters allow the DNA/RNA to attach to the flowcell Index/barcode: used interchangeable to indicate sequence identifier for multiplexing PhiX: commercially available genomic library of PhiX bacteriophage DNA, commonly spiked into libraries

4 Steps to Illumina sequencing
Library construction Fragment, attach adapter DNA Cluster generation Add to flow cell Bridge amplification Sequencing Single base at a time, imaging Data analysis Images transformed into basecalls and ‘reads’

5 Illumina sequencing SBS chemistry video

6 Clustering, the first step to sequencing

7 Sequencing by Synthesis overview

8 The importance of cluster density
Well-spaced clusters easier to call Densely-packed clusters difficult to call Illumina reports “optimal” cluster density for each platform pM amounts of libraries are used for sequencing Accurate QC and quantification are essential!

9 Anatomy of a library P5 and P7 ends of adapters bind to flow cell
DNA insert typically ranges bp (<1kb) Different methods of indexing Inline (part of the insert) – any level of multiplexing Single index read (≤96) Dual index reads (384+)

10 Multiplexing – single index read

11 Multiplexing – dual index reads
hf

12 Some terminology Clusters (raw): number of clusters detected through imaging Reads: the number of reads – some people refer to a cluster as a read (a DNA molecule), others refer to the number of sequences so for PE data this is 2 x DNA molecules % passed-filter (%PF): % of clusters or reads that pass a chastity filter (the useable clusters) %>=Q30: % of bases that have a quality score greater than 30 (e.g. high-quality reads) % aligned: percent of PF reads uniquely aligned to PhiX genome (should be close to the %PhiX spiked in) Error rate: calculated error rate based on alignment to PhiX Phasing/Prephasing: percentage of molecules in a cluster that fall behind (phasing) or ahead (prephasing) of the current cycle during sequencing

13 Run statistics - SAV df

14 Considerations for your library
The first 25 bases of a read are used by the instrument Bases 1-4 used to create cluster ‘map’ – high diversity is critical Bases 1-12 used for phasing/prephasing calculations Quality scores and alignment to PhiX start at cycle 26 Phasing/prephasing increases with read length Cluster images grow with read length and PE turnaround

15 Illumina sequencing Based on reversible terminator chemistry
Sequencing by synthesis (SBS) All 4 fluorescently labeled bases present


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