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Protein hot spots prediction
Kašpárek, Jan ; Tkacz, Ewaryst (referee) ; Maděránková, Denisa (advisor)
Knowledge of protein hot spots and the ability to successfully predict them while using only primary protein structure has been a worldwide scientific goal for several decades. This thesis describes the importance of hot spots and sums up advances achieved in this field of study so far. Besides that we introduce hot spot prediction algorithm using only a primary protein structure, based primarily on signal processing techniques. To convert protein sequence to numerical signal we use the EIIP attribute, while further processing is carried out via means of S-transform. The algorithm achieves sensitivity of more than 60 %, positive predictive value exceeds 50 % and the main advantage over competitive algorithms is its simplicity and low computational requirements.
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Digital filtration in 8-bit microcontrollers
Záplata, Filip ; Frýza, Tomáš (referee) ; Fedra, Zbyněk (advisor)
The aim of my bachelor’s thesis is a digital filtration using the 8-bit processors. Digital filters are in use a lot and gradually outdoing analog equivalents. Their advantages are indisputable, but computing still inhibits bigger progress. Generally used microcontrollers do not have very powerfull core, so there is effort to apply as bright as possible algorithms. Program code can be written in C language or assembler eventually is possible to combine both languages. The task is to make a library of functions based on some powerfull algorithms for filtering. Testing those libraries and comparing their useability focused on maximal speed and universality of use and review ways of programming.
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Digital filtration in 8-bit microcontrollers
Záplata, Filip ; Frýza, Tomáš (referee) ; Fedra, Zbyněk (advisor)
The aim of my bachelor’s thesis is a digital filtration using the 8-bit processors. Digital filters are in use a lot and gradually outdoing analog equivalents. Their advantages are indisputable, but computing still inhibits bigger progress. Generally used microcontrollers do not have very powerfull core, so there is effort to apply as bright as possible algorithms. Program code can be written in C language or assembler eventually is possible to combine both languages. The task is to make a library of functions based on some powerfull algorithms for filtering. Testing those libraries and comparing their useability focused on maximal speed and universality of use and review ways of programming.
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Protein hot spots prediction
Kašpárek, Jan ; Tkacz, Ewaryst (referee) ; Maděránková, Denisa (advisor)
Knowledge of protein hot spots and the ability to successfully predict them while using only primary protein structure has been a worldwide scientific goal for several decades. This thesis describes the importance of hot spots and sums up advances achieved in this field of study so far. Besides that we introduce hot spot prediction algorithm using only a primary protein structure, based primarily on signal processing techniques. To convert protein sequence to numerical signal we use the EIIP attribute, while further processing is carried out via means of S-transform. The algorithm achieves sensitivity of more than 60 %, positive predictive value exceeds 50 % and the main advantage over competitive algorithms is its simplicity and low computational requirements.
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