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Testing of primers for real-time PCR-HRM analysis of fruit products containing one fruit species
Boháčová, Barbora ; Dzurendová, Simona (referee) ; Fialová, Lenka (advisor)
Determining the authenticity of fruit products, which are often counterfeited by substituting part of a more expensive fruit with a cheaper but botanically similar fruit, is a current topic in the food industry. A prime example is the dilution of apricot products with peach puree. This study focuses on testing specific primers AGS18 and PdCass to reveal the true proportion of apricot content in model products mixed with peach puree using PCR analysis followed by HRM analysis. Testing of these primers for authenticity determination revealed limited utility of AGS18 primers due to the formation of small amount or no specific products during reactions with fruit DNA. PdCass primers required PCR condition optimization, but subsequently, specific DNA sequences from fruit leaves could be amplified in sufficient quantities. PCR analysis of DNA from model products with PdCass primers provided specific products in samples with apricot content of 70% or less. HRM analysis of samples and calculation of GCP did not distinguish purees with 0%, 10%, and 30% apricot content. However, purees with 50% and 70% apricot content exhibited significantly different melting curves compared to other samples.
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Web Service for Pronunciation Training and Foreign Language Learning
Stehlík, Ján ; Bambušek, David (referee) ; Szőke, Igor (advisor)
This article presents a design and an implementation of Web application for English pronunciation training. Nowadays, there are a lot of on-line applications that help to improve English level or skill level of any other foreign language. On the other hand, there are not so many applications that help to improve pronunciation of given language. This project was developed to fill the gap, and to enable users to practice pronunciation by repeating short video segments. Using their microphone device users will record their speech. This speech will be compared with the reference recording. Result of this comparison will be returned to the user as a similarity score. The similarity score is computed using Dynamic Time Warping algorithm, that is incorporated inside a video player used in this application.
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Hardware Acceleration of Algorithms for Approximate String Matching
Nosek, Ondřej ; Kořenek, Jan (referee) ; Martínek, Tomáš (advisor)
Methods for aproximate string matching of various sequences used in bioinformatics are crucial part of development in this branch. Tasks are of very large time complexity and therefore we want create a hardware platform for acceleration of these computations. Goal of this work is to design a generalized architecture based on FPGA technology, which can work with various types of sequences. Designed acceleration card will use especially dynamic algorithms like Needleman-Wunsch and Smith-Waterman.
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Web Service for Pronunciation Training and Foreign Language Learning
Stehlík, Ján ; Bambušek, David (referee) ; Szőke, Igor (advisor)
This article presents a design and an implementation of Web application for English pronunciation training. Nowadays, there are a lot of on-line applications that help to improve English level or skill level of any other foreign language. On the other hand, there are not so many applications that help to improve pronunciation of given language. This project was developed to fill the gap, and to enable users to practice pronunciation by repeating short video segments. Using their microphone device users will record their speech. This speech will be compared with the reference recording. Result of this comparison will be returned to the user as a similarity score. The similarity score is computed using Dynamic Time Warping algorithm, that is incorporated inside a video player used in this application.
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Hardware Acceleration of Algorithms for Approximate String Matching
Nosek, Ondřej ; Kořenek, Jan (referee) ; Martínek, Tomáš (advisor)
Methods for aproximate string matching of various sequences used in bioinformatics are crucial part of development in this branch. Tasks are of very large time complexity and therefore we want create a hardware platform for acceleration of these computations. Goal of this work is to design a generalized architecture based on FPGA technology, which can work with various types of sequences. Designed acceleration card will use especially dynamic algorithms like Needleman-Wunsch and Smith-Waterman.
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