National Repository of Grey Literature 8 records found  Search took 0.01 seconds. 
A tool for assessing the quality of multiple sequence alignments
Pelikánová, Veronika ; Maděránková, Denisa (referee) ; Škutková, Helena (advisor)
This thesis is dealing with quality assessment of multiple sequence alignments. It contains literature review of public available tools of multiple sequence alignments. The main part of this thesis focuses on the program on quality assessment of multiple sequence alignments (created with the help of various tools, using different settings, etc.). The program has a graphical user interface created in Matlab and is enclosed together with a set of nucleotide and protein sequences compiled for program testing and aplication. Last but not least, the thesis contains the assessment of public available tools resulting from program outputs.
Techniques for Multiple Sequence Alignments
Hrazdil, Jiří ; Martínek, Tomáš (referee) ; Burgetová, Ivana (advisor)
This thesis summarizes ways of representation of biological sequences and file formats used for sequence exchange and storage. Next part deals with techniques used for sequence pairwise alignment, followed by extension of these techniques to the problem of multiple sequence alignment. Additional methods are introduced, that are suboptimal, but on the other hand are able to compute results in reasonable time. Practical part of this thesis consists of implementing multiple sequence alignment application in Java programming language.
Predicting the Effect of Amino Acid Substitutions on Protein Function Using MAPP Method
Pelikán, Ondřej ; Vogel, Ivan (referee) ; Bendl, Jaroslav (advisor)
This thesis discusses the issue of predicting the effect of amino acid substitutions on protein function using MAPP method. This method requires the multiple sequence alignment and phylogenetic tree constructed by third-party tools. Main goal of this thesis is to find the combination of suitable tools and their parameters to generate the inputs of MAPP method on the basis of analysis on one massively mutated protein. Then, the MAPP method is tested with chosen combination of parameters and tools on two large independent datasets and consequently is compared with the other tools focused on prediction of the effect of mutations. Apart from this the web interface for the MAPP method was created. This interface simplifies the use of the method since the user need not to install any tools or set any parameters.
Influence of Clustal W hyperparameters in multiple sequences alignment for AlignRUDDER
GANZ, Marlene
Reinforcement learning algorithms suffer from the delayed reward problem and usually only perform well when being trained with vast amounts of data. AlignRUDDER overcomes this problem by using a multiple sequence alignment for the initialization performed with ClustalW. In this thesis we work with different data­sets and AlignRUDDER to search for optimal align­ ment hyperparameters for reinforcement learning problems.
Effects of hyperparameters in multiple sequence alignment for Align-RUDDER using Clustal
SAMWALD, Christian
Delayed rewards are detrimental to the learning of reinforcement learning agents.One approach to this problem is the usage of return decomposition and rewardredistribution. It was realised in the Align-RUDDER algorithm of Patilet al.[14].Their solution employed the multiple sequence alignment algorithm Clustal W. Iintegrated the sequence alignment Tool Clustal, Clustal W's successor, intoAlign RUDDER to increase efficiency. During the testing process, the usage ofClustal's EPA function and the effects of different sample sizes played a centralrole. The data set that was used came from the MineRL data set [6].
A tool for assessing the quality of multiple sequence alignments
Pelikánová, Veronika ; Maděránková, Denisa (referee) ; Škutková, Helena (advisor)
This thesis is dealing with quality assessment of multiple sequence alignments. It contains literature review of public available tools of multiple sequence alignments. The main part of this thesis focuses on the program on quality assessment of multiple sequence alignments (created with the help of various tools, using different settings, etc.). The program has a graphical user interface created in Matlab and is enclosed together with a set of nucleotide and protein sequences compiled for program testing and aplication. Last but not least, the thesis contains the assessment of public available tools resulting from program outputs.
Techniques for Multiple Sequence Alignments
Hrazdil, Jiří ; Martínek, Tomáš (referee) ; Burgetová, Ivana (advisor)
This thesis summarizes ways of representation of biological sequences and file formats used for sequence exchange and storage. Next part deals with techniques used for sequence pairwise alignment, followed by extension of these techniques to the problem of multiple sequence alignment. Additional methods are introduced, that are suboptimal, but on the other hand are able to compute results in reasonable time. Practical part of this thesis consists of implementing multiple sequence alignment application in Java programming language.
Predicting the Effect of Amino Acid Substitutions on Protein Function Using MAPP Method
Pelikán, Ondřej ; Vogel, Ivan (referee) ; Bendl, Jaroslav (advisor)
This thesis discusses the issue of predicting the effect of amino acid substitutions on protein function using MAPP method. This method requires the multiple sequence alignment and phylogenetic tree constructed by third-party tools. Main goal of this thesis is to find the combination of suitable tools and their parameters to generate the inputs of MAPP method on the basis of analysis on one massively mutated protein. Then, the MAPP method is tested with chosen combination of parameters and tools on two large independent datasets and consequently is compared with the other tools focused on prediction of the effect of mutations. Apart from this the web interface for the MAPP method was created. This interface simplifies the use of the method since the user need not to install any tools or set any parameters.

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