Various strategies and workflows for the analysis of high-throughput sequencing data had been developed so far. We ensure that your data are processed with the most reliable and accurate algorithms. We apply predominantly open-source and only freely available software packages working under Unix/Linux and R/Bioconductor environments.
Most massively parallel sequencing projects require individual bioinformatics approaches rather than standard solutions. Frequently, such studies need substantial customization that may include preparation of custom reference databases, applying distinct parameters for the alignment and reads counting, specific methods for statistical analyses and efficient visualization strategies. Furthermore, depending on the outcome of the "default" analysis workflows, additional tasks deviating from the original plan may arise. Along with standard options, we offer fully customized bioinformatics services specifically tailored for your project.
Outsourcing the data analysis services is almost always more cost-efficient than maintaining an in-house bioinformatics facility. By using our services, your expenses for the data analysis will constitute only a fraction out of total price incurred for the NGS library preparation and sequencing itself. Besides, we ensure that your NGS data analysis will be performed by a PhD-holding data scientist with a proven record of academic achievements and relevant experience.
- Up-To-Date Software & Databases
The software used for the analysis of high-throughput sequencing data is continuously being updated and improved. At the same time, widely used bioinformatics pipelines may include outdated or even obsolete software packages and provide inaccurate results. We apply only up-to-date and highly reliable software as well as the most recent versions of reference genomes and transcriptomes.
