20.500.12556/DiRROS-19702 quantGenius implementation of a decision support system for qPCR-based gene quantification Background Quantitative molecular biology remains a challenge for researchers due to inconsistent approaches for control of errors in the final results. Due to several factors that can influence the final result, quantitative analysis and interpretation of qPCR data are still not trivial. Together with the development of high-throughput qPCR platforms, there is a need for a tool allowing for robust, reliable and fast nucleic acid quantification. Results We have developed “quantGenius” (http://quantgenius.nib.si), an open-access web application for a reliable qPCR-based quantification of nucleic acids. The quantGenius workflow interactively guides the user through data import, quality control (QC) and calculation steps. The input is machine- and chemistry–independent. Quantification is performed using the standard curve approach, with normalization to one or several reference genes. The special feature of the application is the implementation of user-guided QC-based decision support system, based on qPCR standards, that takes into account pipetting errors, assay amplification efficiencies, limits of detection and quantification of the assays as well as the control of PCR inhibition in individual samples. The intermediate calculations and final results are exportable in a data matrix suitable for further statistical analysis or visualization. We additionally compare the most important features of quantGenius with similar advanced software tools and illustrate the importance of proper QC system in the analysis of qPCR data in two use cases. Conclusions To our knowledge, quantGenius is the only qPCR data analysis tool that integrates QC-based decision support and will help scientists to obtain reliable results which are the basis for biologically meaningful data interpretation. quantitative molecular biology quantitative PCR nucleic acid quantification web application decision support system true false true Angleški jezik Ni določen Neznano 2024-07-24 03:46:02 2024-07-24 15:41:52 2024-07-25 04:14:56 0000-00-00 00:00:00 2017 0 0 Nasl. z nasl. zaslona; Opis vira z dne 15. 6. 2017; str. 1-11 Vol. 18 2017 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 2017-05-25 577.2 1471-2105 10.1186/s12859-017-1688-7 4351055 https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-017-1688-7 1 cf3d96a0-494d-11ef-b487-001a4af901a5 https://dirros.openscience.si/Dokument.php?lang=slv&id=27231 RAZ_Baebler_Spela_2017.pdf RAZ_Baebler_Spela_2017.pdf 1 C7C6B6FB768EB4E4873562D7E63935A8 d24a406c7f7ec22141a7d4a4a5bbcf4282396e3ebcb42e1557b158722ffc78b7 c3cdcb79-49b1-11ef-b487-001a4af901a5 https://dirros.openscience.si/Dokument.php?lang=slv&id=27393 Nacionalni inštitut za biologijo 0 0 0