Abstract: A TRS workflow is registered in a cloud-native biomedical informatics platform, and the TRS workflow includes at least one TRS_FQN. A workflow automation execution method applied in the cloud-native biomedical informatics platform includes providing a run sheet used to configure a sequencer to generate a first sequencing data. The run sheet includes a sample-specific metadata associating the first sequencing data, at least one TRS_FQN and a run identifier. The method further includes importing a first DRS object indicating the first sequencing data in response to the run sheet. A first WES_FQN is generated based on the run identifier and the at least one TRS_FQN and attached to the first DRS object. The method further includes performing a WES run running the TRS workflow on the first DRS object in response to the run sheet. The first DRS object is resolved based on the first WES_FQN.

Abstract: A method for facilitating optimization of a cluster computing network for sequencing data analysis using adaptive data parallelization is provided. The method comprises the following steps. (a) A data parallelization configuration is determined, based on sequencing data and a pipeline selection, wherein the data parallelization configuration includes partition indication data indicating at least one biological information unit based on which of the sequencing data is to be partitioned.