All Outputs (3)

Anomaly Detection for IoT Time-Series Data: A Survey (2019)
Journal Article
Misirli, & Fan. (2019). Anomaly Detection for IoT Time-Series Data: A Survey. IEEE Internet of Things, https://doi.org/10.1109/JIOT.2019.2958185

Abstract—Anomaly detection is a problem with applications for a wide variety of domains, it involves the identification of novel or unexpected observations or sequences within the data being captured. The majority of current anomaly detection method... Read More about Anomaly Detection for IoT Time-Series Data: A Survey.

SBOL-OWL: An ontological approach for formal and semantic representation of synthetic biology information (2019)
Journal Article
Misirli. (2019). SBOL-OWL: An ontological approach for formal and semantic representation of synthetic biology information. ACS synthetic biology, 1498-1514. https://doi.org/10.1021/acssynbio.8b00532

Standard representation of data is key for the reproducibility of designs in synthetic biology. The Synthetic Biology Open Language (SBOL) has already emerged as a data standard to represent information about genetic circuits, and it is based on capt... Read More about SBOL-OWL: An ontological approach for formal and semantic representation of synthetic biology information.

Synthetic Biology Open Language (SBOL) Version 2.3. (2019)
Journal Article
Misirli. (2019). Synthetic Biology Open Language (SBOL) Version 2.3. Journal of Integrative Bioinformatics, https://doi.org/10.1515/jib-2019-0025

Synthetic biology builds upon the techniques and successes of genetics, molecular biology, and metabolic engineering by applying engineering principles to the design of biological systems. The field still faces substantial challenges, including long... Read More about Synthetic Biology Open Language (SBOL) Version 2.3..