Automated Clone Evaluation Software for Protein Expression Clones
Author Information
Author(s): Elena Taycher, Andreas Rolfs, Yanhui Hu, Dongmei Zuo, Stephanie E. Mohr, Janice Williamson, Joshua LaBaer
Primary Institution: Harvard Institute of Proteomics
Hypothesis
Can an automated software system improve the efficiency and accuracy of validating protein expression clones?
Conclusion
The ACE software significantly reduces the time and labor required for clone sequence validation while improving accuracy.
Supporting Evidence
- ACE has been used to evaluate more than 55,000 clones.
- The automated analysis was faster and more accurate than manual methods.
- ACE reduces the number of missed sequence discrepancies.
Takeaway
This study created a computer program that helps scientists check if their DNA samples are correct, making the process faster and easier.
Methodology
The ACE system automates the validation of plasmid sequences by comparing them to reference sequences and sorting them based on user-defined acceptance criteria.
Limitations
The software may still require manual review for some clones, particularly those with low confidence discrepancies.
Digital Object Identifier (DOI)
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