Software developers and bioinformaticians from the SciLifeLab National Genomics Infrastructure (NGI Uppsala) and the Clinical Genomics unit (Uppsala) have developed a new automation system, called Arteria, that aims to tackle the problems associated with the explosive growth in sequencing data world wide, such as the need for automated solutions for data processing and analysis.
Nucleotide sequencing has become more and more important in both research and clinical settings during recent years. This has resulted in an explosive growth of sequencing data world wide which in turn demands automated solutions for data processing and analysis. So far, there is little in the scientific literature describing such systems.
In order to meet the demands, software developers and bioinformaticians from the SciLifeLab National Genomics Infrastructure (NGI) Uppsala and the Clinical Genomics unit (Uppsala) have developed Arteria, an automation system that could solve the data-related operational challenges that face sequencing core units. The new system was presented in the journal Giga Science.
Arteria is both flexible and scalable and has already been successfully deployed at 3 sequencing core units, the National Genomics Infrastructure (NGI) Uppsala, the Clinical Genomics unit (Uppsala) and the University of Melbourne Center for Cancer Research.
For more information about Arteria and the open source code, largely written in Python, you can follow this link.