The formation and movement of gas bubbles in microfluidic chips leads to the measurement sequence disorder in the form of a signal distortion. Two new methods for automatic processing of distorted qPCR signals were developed and implemented. Methods are based on the qPCR signals approximation by a sigmoid function and make it possible to successfully perform a microfluidic chips qPCR analysis in the event of bubbles, which is demonstrated on experimental and simulation curves.