AI Article Synopsis

  • Next-generation amplicon sequencing allows for simultaneous genetic analysis of multiple genes across several patients, but currently lacks a reliable open-source software solution for reporting genetic variations.
  • Researchers have developed a customizable software pipeline in Perl that efficiently analyzes 454/Roche GS-FLX amplicon resequencing data, validating detected variations and optimizing PCR processes.
  • This open-source pipeline is database-oriented, facilitating integration with other tools for variant interpretation, and includes clear documentation for users to test the system before applying it to actual sequencing data.

Article Abstract

Background: Next-generation amplicon sequencing enables high-throughput genetic diagnostics, sequencing multiple genes in several patients together in one sequencing run. Currently, no open-source out-of-the-box software solution exists that reliably reports detected genetic variations and that can be used to improve future sequencing effectiveness by analyzing the PCR reactions.

Results: We developed an integrated database oriented software pipeline for analysis of 454/Roche GS-FLX amplicon resequencing experiments using Perl and a relational database. The pipeline enables variation detection, variation detection validation, and advanced data analysis, which provides information that can be used to optimize PCR efficiency using traditional means. The modular approach enables customization of the pipeline where needed and allows researchers to adopt their analysis pipeline to their experiments. Clear documentation and training data is available to test and validate the pipeline prior to using it on real sequencing data.

Conclusions: We designed an open-source database oriented pipeline that enables advanced analysis of 454/Roche GS-FLX amplicon resequencing experiments using SQL-statements. This modular database approach allows easy coupling with other pipeline modules such as variant interpretation or a LIMS system. There is also a set of standard reporting scripts available.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2880033PMC
http://dx.doi.org/10.1186/1471-2105-11-269DOI Listing

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