ABSTRACT
With the increasing discovery of circular RNAs (circRNAs) and their critical roles in gene regulation and disease progression, there is a growing need for more accurate and efficient tools for circRNAs research. In response, we have developed an integrated software suite specifically for circRNAs. This all-in-one tool specializes in detecting differentially expressed circRNAs, including those with the potential to be translated into proteins, and allows for comparing against relevant databases, thereby enabling comprehensive circRNA profiling and annotation. To enhance the accuracy in detecting differentially expressed circRNAs, we incorporated three different software algorithms and cross-validated their results through mutual verification. Additionally, this toolkit improves the effectiveness in identifying translatable circRNAs by optimizing Ribo-seq alignment and verifying against public circRNA databases. The performance of circRNA-pro has been evaluated through its application to public RNA-seq and Ribo-seq datasets on breast cancer and SARS-CoV-2 infected cells, and the results obtained have been validated against previous literature and databases. Overall, our integrated toolkit provides a reliable workflow for circRNA research, facilitating insights into their diverse roles across life sciences.
Subject(s)
Severe Acute Respiratory Syndrome , Breast NeoplasmsABSTRACT
With the implementation of clean heating and the outbreak of COVID-19, stratum ventilation with both energy-saving and healthy indoor environments has become a research hotspot. Room size dimension is one of the critical factors affecting the air distribution, thermal comfort, and ventilation performance of space heating, which is still a research blank at present. This study determined the applicable room size dimension of stratum ventilation for space heating by using a multi-criteria analytic hierarchy process-entropy weight (AHP-EW) model. A computational fluid dynamics (CFD) simulation verified by experiments was conducted. To investigate the ventilation performance of different room sizes in energy utilization and thermal comfort, airflow distribution, ventilation efficiency (Et), dimensionless temperature, effective ventilation temperature (EDT), air distribution performance index (ADPI), and predicted mean vote (PMV) were calculated. The multi-criteria AHP-EW method is used to evaluate every case comprehensively. The results show that the maximum room size obtained by multi-criteria APH-EW is 6 m, and considering the single criteria, the suitable height for stratum ventilation for heating is below 5.7 m. The data obtained in this paper can be used as a reference for further study on the application of stratum ventilation and heating in the future.