Spletna aplikacija za analizo in vizualizacijo cirkadianih podatkov s knjižnico CosinorPy

AJSTER, MATEJ (author), Moškon, Miha (mentor)

Biološki ritmi, cirkadiani in ostali, so pomembni pri vsem življenju na zemlji. Različne raziskave dokazujejo, da je motnja bioloških ritmov dejavnik tveganja za nastanek in razvoj različnih bolezni, zato so analize takšnih podatkov vedno bolj pomembne. Za analizo cirkadianih podatkov obstajajo specifični matematični pristopi, ki so med drugim implementirani v knjižnici CosinorPy. Da bi bile metode analize cirkadianih podatkov z metodo Cosinor še bolj dostopne, predlagamo implementacijo spletne aplikacije za knjižnico CosinorPy. Aplikacija je sestavljena iz čelnega in zalednega sistema, le da je tukaj posebnost povezava strežnika v okolju NodeJS s knjižnico CosinorPy v okolju Python. Za komunikacijo s knjižnico CosinorPy se je uporabila povezava TCP s knjižnico Socket.io. Rezultat je preprosta spletna aplikacija, ki pošilja zahteve za izvedbo analize na zaledni sistem. Po zaključku analize se podatki vrnejo na čelni del aplikacije, kjer se pokažejo na uporabniku prijazen način.

• Language: Slovenian
• Keywords: spletna aplikacija, metoda Cosinor, cirkadiani ritmi
• Work type: Bachelor thesis/paper
• Typology: 2.11 - Undergraduate Thesis
• Organization: FRI - Faculty of Computer and Information Science
• Year: 2020
• PID: 20.500.12556/RUL-120065
• COBISS.SI-ID: 31681027
• Publication date in RUL: 15.09.2020

Secondary language

• Language: English
• Title: Web application for the analysis and visualisation of circadian data using CosinorPy

Abstract

Biological rhythms, circadian and others, are important in all life on earth. Various studies prove that biological rhythm disturbance is a risk factor for the origin and development of various diseases. Therefore, analysis of such data is becoming increasingly important. Specific mathematical approaches are used for the analysis of circadian data. Some of these are implemented in the CosinorPy library. We propose an implementation of a web application to make the analysis of circadian data even more accessible. The proposed implementation uses the CosinorPy library and its functionalities to perform the analyses and visualize the data. The application is built typically from the front-end and back-end system. Its specific feature is the server connection in the NodeJS environment with the CosinorPy library in the Python environment. The communication with the CosinorPy library is implemented with a TCP connection implemented by the Socket.io library. The result is a simple web application, which sends requests for selected Cosinor analysis to the back-end system. Upon completion of the analysis, the data is returned to the front-end of the application, where it is shown in a user-friendly way.

• Keywords: web application, Cosinor method, circadian rhythms