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Making NGS Data Analysis Clinically Practical: Repeatable and Time-Effective Workflows
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Exploring next-generation sequence data requires an iterative process whereby a researcher can find a "needle in the haystack" that contributes to a particular disease or other phenotype. Once that needle has been found, a workflow can be established for analyzing other samples or to create a repeatable, time-effective process for clinical usage.
Yet, repeating a workflow that involves several different quality control, filtering, and analysis steps is burdensome and error-prone.
To solve this problem, we introduce custom workflow automation in SVS, which allows you to collapse dozens of steps into a few run-specific options. This click-and-go process saves an exponential amount of time while eliminating the inevitable user error that happens with tedious repetition and ensures that the exact same protocol is followed with each run, a critical requirement for use in the clinic.
Yet, repeating a workflow that involves several different quality control, filtering, and analysis steps is burdensome and error-prone.
To solve this problem, we introduce custom workflow automation in SVS, which allows you to collapse dozens of steps into a few run-specific options. This click-and-go process saves an exponential amount of time while eliminating the inevitable user error that happens with tedious repetition and ensures that the exact same protocol is followed with each run, a critical requirement for use in the clinic.