Paper at Journal of Computational Biology

Our recent study entitled “A System Architecture for Efficient Transmission of Massive DNA Sequencing Data with Mahmut Şamil Sagiroglu from Erlab Technology has appeared in Fast Track of Journal of Computational Biology.

In this study we focus on the problem “How to transmit massive DNA sequencing data from where they are produced to where they will be processed ?”. The DNA sequencing data analysis pipelines require significant computational resources. In that sense, cloud computing infrastructures appear as a natural choice for this processing. However, the first practical difficulty in reaching the cloud computing services is the transmission of the massive DNA sequencing data from where they are produced to where they will be processed. We proposed a new system architecture that incorporates the computational resources available on the client side while dynamically adapting itself to the available bandwidth. We analyse several real-life scenarios, which provide useful insights for the sequencing data producers, especially on deciding when to use a cloud service and in what conditions. This work has been partially supported by TÜBİTAK grants TEYDEB-7150616 and ARDEB-114E293.

Leave a Reply

Your email address will not be published. Required fields are marked *