Genomics


Figure 9: Attractiveness of third generation sequencing instruments


Ease of workflow Sequencing cost


Read accuracy Read speed Read length


Instrument cost -2.00 -1.50 -1.00 -0.50 1.22


1.10 1.13


0.96 0.84 0.69 0.00 0.50 1.00 1.50 2.00


MEAN Rating SCORE -2 to +2, where -2 = less attractive, 0 = same attractiveness, and +2 = more attractive (relative to next generation counterparts)


© HTStec 2012


Read accuracy (irrespective of definition) was rated as the aspect of third generation sequencing respondents would most like to see improved. This was closely followed by sequencing cost, IT sup- port and data handling, read length and then cov- erage. Run time was the aspect of third generation sequencing where respondents were least seeking improvement (Figure 11).


Current status of the main sequencing platforms Illumina (www.illumina.com) continues to drive innovation across its entire sequencing ecosystem – from sample preparation to system enhancements to data analysis. Recently, the company announced


Figure 10: Respondents’ perceptions of potential errors affecting data quality in third generation sequencers


High raw error rate


Difficulty in sequencing long homopolymeric regions


Reductions in average sub-read lengths in comparison with quoted average read lengths


Coverage bias when sequencing AT-rich genomes


1.97


1 1.5 2 2.5 3 3.5 4 Mean RANKED ORDER 1 to 4, where 1 = least serious, and 4 = most serious


© HTStec 2012 2.29 2.82 3.54


Figure 11: Areas for improvement wanted in third generation sequencing


(irrespective of definition)


Sequencing cost Read accuracy


IT support & data handling


Run time Automation Instrument cost Sample preparation Coverage Read length


4.24


4.13 4.17 4.17


3.98 3.77 3.67 3.42


1.00 1.50 2.00 2.50 3.00 3.50 4.00 4.50 5.00 MEAN Rating SCORE 1 to 5, where where 1 = improvement not wanted, and 5 = improvement definitely needed


© HTStec 2012 4.55


Drug Discovery World Spring 2013


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