The quality of the data we are analysing is always an issue that has to be kept in mind. Particularly these days in which many services such as sequencing are outsourced to different companies, it is crucial to check the data we receive before starting any more in depth analysis. In this way we can both ensure any conclusions reached are valid and also confirm the data we receive is worth the monetary cost. Analysis of bad quality data can lead to the waste of a lot of work and resources, highlighting the importance of exhaustive quality control steps early on in the analysis.
OmicsOffice® provides a complete set of quality control metrics for NGS, microarray and qPCR data. Using peer reviewed tools and methods we provide information on biases detected on the data and highlight potential problems in the data at an early stage.