Web aplikacija za pohranjivanje i pretraživanje bioinformatičkih podataka

master's thesis

• Title (english): Web Application for Storing and Querying Bioinformatics Data
• Author: Nikola Špoljarec
• Mentor: Krešimir Križanović (mentor)
• Committee member: Krešimir Križanović (predsjednik povjerenstva)
• Committee member: Igor Mekterović (član povjerenstva)
• Committee member: Boris Milašinović (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2023-09-22, Croatia

Abstract

U ovom radu uspješno je razvijena web aplikacija za pohranjivanje i pretraživanje bioinformatičkih podataka. Koristeći MongoDB kao bazu podataka, Spring Boot za backend i React za frontend, stvoreno je efikasno i sigurno okruženje za unos, upravljanje i pretraživanje podataka.
Omogućeno je pretraživanje organizama u klaster bazi podataka, ispis referenci i mapiranja vezanih za određeni organizam te preuzimanje referenci za traženi organizam s NCBI stranice.
Razumijevanje bioinformatičkih podataka i primjena tehnologija omogućili su razvoj korisnog alata za analizu i istraživanje, unapređujući rad znanstvene zajednice u području bioinformatike.

Abstract (english)

In this study, a successful web application for storing and searching bioinformatic data has been developed. By utilizing MongoDB as the database, Spring Boot for the backend, and React for the frontend, an efficient and secure environment for data input, management, and retrieval has been created.
The application enables searching organisms in the cluster database, displaying references and mappings associated with a specific organism, and downloading references from the NCBI website.
The understanding of bioinformatic data and the application of technologies have facilitated the development of a valuable tool for analysis and research, enhancing the work of the scientific community in the field of bioinformatics.

• Keywords: bioinformatika; referenca; očitanje; mapiranje; k-mer analiza; mongo baza podataka; dokument; kolekcija; Spring Boot; React; komponenta
• Keywords (english): bioinformatics; reference; reading; query; k-mer analysis; MongoDB database; document; collection; Spring Boot; React; component
• Language: croatian
• URN:NBN: urn:nbn:hr:168:525049
• Study programme: Title: Computing; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-10-11 10:41:50