CLONEQC: Lightweight sequence verification for synthetic biology

Pablo A. Lee, Jessica S. Dymond, Lisa Z. Scheifele, Sarah M. Richardson, Katrina J. Foelber, Jef D. Boeke, Joel S. Bader

    Research output: Contribution to journalArticlepeer-review


    Synthetic biology projects aim to produce physical DNA that matches a designed target sequence. Chemically synthesized oligomers are generally used as the starting point for building larger and larger sequences. Due to the error rate of chemical synthesis, these oligomers can have many differences from the target sequence. As oligomers are joined together to make larger and larger synthetic intermediates, it becomes essential to perform quality control to eliminate intermediates with errors and retain only those DNA molecules that are error free with respect to the target. This step is often performed by transforming bacteria with synthetic DNA and sequencing colonies until a clone with a perfect sequence is identified. Here we present CLONEQC, a lightweight software pipeline available as a free web server and as source code that performs quality control on sequenced clones. Input to the server is a list of desired sequences and forward and reverse reads for each clone. The server generates summary statistics (error rates and success rates target-bytarget) and a detailed report of perfect clones. This software will be useful to laboratories conducting in-house DNA synthesis and is available at and as Berkeley Software Distribution (BSD) licensed source.

    Original languageEnglish (US)
    Article numbergkq093
    Pages (from-to)2617-2623
    Number of pages7
    JournalNucleic acids research
    Issue number8
    StatePublished - Mar 6 2010

    ASJC Scopus subject areas

    • Genetics


    Dive into the research topics of 'CLONEQC: Lightweight sequence verification for synthetic biology'. Together they form a unique fingerprint.

    Cite this