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Razvoj spletne aplikacije za analizo PCR podatkov
ID
MERHAR, ALEKSANDER
(
Author
),
ID
Moškon, Miha
(
Mentor
)
More about this mentor...
,
ID
Prosenc Zmrzljak, Uršula
(
Comentor
)
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Abstract
Moderne metode za analizo bioloških podatkov so pogosto na voljo izključno v obliki programskih knjižnic. To pomeni, da je njihova uporaba omejena na strokovnjake z znanjem programiranja. Tovrstne metode strokovnjaki in znanstveniki s področja ved o življenju brez znanja programiranja torej težko uporabljajo pri svojem vsakdanjem delu. V tem delu sem se lotil izdelave spletne aplikacije za analizo PCR (angl. Polymerase Chain Reaction), konkretneje ddPCR (angl. digital-droplet Polymerase Chain Reaction) podatkov. Spletna aplikacija v zaledju uporablja knjižnico z implementacijo različnih sodobnih metod za analizo teh podatkov. Preko uporabniku prijaznega grafičnega vmesnika omogoča izvedbo izbranih analiz, prikaz rezultatov v tabelarični in grafični obliki ter njihov izvoz v poenotenem formatu. V delu predstavimo osnove različnih tipov analiz PCR in pripadajočih podatkov ter opišemo knjižnice, ki sem jih pri razvoju rešitve uporabil. Predstavimo funkcionalnosti in primere uporabe razvite aplikacije.
Language:
Slovenian
Keywords:
PCR
,
dPCR
,
ddPCR
,
analiza podatkov
,
spletna aplikacija
Work type:
Bachelor thesis/paper
Typology:
2.11 - Undergraduate Thesis
Organization:
FRI - Faculty of Computer and Information Science
Year:
2021
PID:
20.500.12556/RUL-131090
COBISS.SI-ID:
78909699
Publication date in RUL:
22.09.2021
Views:
2189
Downloads:
202
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MERHAR, ALEKSANDER, 2021,
Razvoj spletne aplikacije za analizo PCR podatkov
[online]. Bachelor’s thesis. [Accessed 8 April 2025]. Retrieved from: https://repozitorij.uni-lj.si/IzpisGradiva.php?lang=eng&id=131090
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Secondary language
Language:
English
Title:
Development of web application for PCR data analysis
Abstract:
Modern methods aimed to biological data analysis are commonly available exclusively in the form of programming libraries. This means that their use is limited to experts with programming knowledge. Therefore, such methods are difficult to be used by life-science experts and scientists in their everyday work. In this thesis we present the development of a web application for the analysis of PCR (Polymerase Chain Reaction) data -- ddPCR (digital-droplet Polymerase Chain Reaction) data, to be exact. The web application backend uses a library with different modern analysis methods of said data. With the use of a user-friendly graphical interface, it enables the user to perform selected analyses, display of results in a tabular and graphical formats, and export in a common report formats. We present the fundamentals of different types of PCR analyses their corresponding data and we describe the libraries, used in the proposed implementation. We present the functionalities of our application and illustrate its practical use on simple yet illustrative examples.
Keywords:
PCR
,
dPCR
,
ddPCR
,
data analysis
,
web application
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