The “tag profiling” approach also allows for a straight-forward data evaluation, since genome-mapped QuantSeq reads are counted directly without having to resort to transcript modelling. Incomplete or incorrect transcript annotations have a lower impact, and gene length bias is practically absent. The QuantSeq data analysis pipeline uses transparent, peer-reviewed algorithms, has been cited in more than 200 publications and best of it all, data analysis is free for QuantSeq kit users.
To offer complimentary automated data analysis, Lexogen has partnered with the cloud based BlueBee Genomics Data Analysis Platform, providing an end-to-end solution that includes quality control, mapping, UMI de-duplication (if applicable), genome alignment, gene expression quantification, and differential gene expression evaluation (if applicable). See the detailed data analysis workflow in the Figure 1.
- User-friendly, pre-configured, and validated workflow designed to be operated also without a bioinformatics background;
- Certified, secure cloud-based solution;
- ~40 different genomes, e.g. human, mouse, and rat already available; additional species can easily be added;
- Time and costs savings on bioinformatics.
To enable users to re-examine QuantSeq reads with different parameters and/or different genomes, the BlueBee QuantSeq data evaluation is now free for also for re-analysis purposes!
For more information on how to obtain extra codes please contact support(at)lexogen.com. This offer on extra re-analysis codes ends on March 31st, 2020.