Our comprehensive analysis of RNA-Seq data encompasses a number of steps, using tools and methods that are commonly applied in the field as well as a number of our own analytical methods. This includes both standard procedures, such as identification of differentially expressed genes, and also more specialized tasks, like identification of long non-coding RNAs. Below listed are most commonly requested types of data analysis, with a brief summary of expected output files.
Output files include: quality report (HTML or PDF formats), filtered reads in FASTQ format (per request)
Fig. 1. A detailed and self-explanatory quality report for each sample provided.
Fig. 2. MA plot and Volcano plot, essential diagnostic plots for differential expression analysis.
Fig. 3. Read mapping results in BAM format
Fig. 4. Sashimi plot
We have years of experience as bioinformaticians and we also perform our own scientific projects, so that we constantly improve our analytical skills and pipelines, adjusting them to ever changing methods and standards in the field. Quite importantly, we have experience in RNA-Seq data analysis of different groups of organisms, including human, plants, and bacteria – both model and non-model organisms. Most of the provided result files are in a user-friendly format and/or might be visualized in tools, such as genome browsers and MS Excel. Last but not least, all that comes at competitive price and there is no fee for evaluation of your project. Please contact us to learn more on our offer, pricing and scheduling.