Automated Method for Human Exome Targeted Capture Libraries
Author Information
Author(s): Sheila Fisher, Andrew Barry, Justin Abreu, Brian Minie, Jillian Nolan, Toni M Delorey, Geneva Young, Timothy J Fennell, Alexander Allen, Lauren Ambrogio, Aaron M Berlin, Brendan Blumenstiel, Kristian Cibulskis, Dennis Friedrich, Ryan Johnson, Frank Juhn, Brian Reilly, Ramy Shammas, John Stalker, Sean M Sykes, Jon Thompson, John Walsh, Andrew Zimmer, Zac Zwirko, Stacey Gabriel, Robert Nicol, Chad Nusbaum
Primary Institution: Broad Institute of MIT and Harvard
Hypothesis
We set out to develop a scalable method for high-throughput targeted sequencing of human exomes.
Conclusion
The automated solution hybrid selection method can process over 1,200 samples in less than a week, significantly increasing throughput and efficiency.
Supporting Evidence
- The automated SHS method can process over 1,200 samples in less than a week.
- The method maintains high selectivity and library complexity.
- Improvements include elimination of manual steps and optimization of reactions.
- Quality control checkpoints are integrated into the process.
- The method allows for significant cost savings in sequencing.
Takeaway
This study created a faster way to prepare DNA samples for sequencing, allowing scientists to look at many more genes at once without spending too much money.
Methodology
The study developed an automated solution hybrid selection method for preparing DNA samples, optimizing various steps to increase efficiency and reduce costs.
Limitations
The method may not be applicable to all types of DNA samples or sequencing technologies.
Digital Object Identifier (DOI)
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