ABO KHAYAL, L. Transkriptomická charakterizace pomocí analýzy RNA-Seq dat [online]. Brno: Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. 2018.

Posudky

Posudek vedoucího

Provazník, Valentýna

Dissertation thesis Layal Abo Khayal is focused on the field of high-throughput sequence technologies that produce a massive amount of data to reveal new genes, identify splice variants, and quantify gene expression genome-wide. Based on the presented work, I can state that the author fulfilled the goals set in the dissertation thesis and achieved remarkable results in the field of development of methods for analysis of large volumes of data from RNA-Seq experiments. I consider as essential that the author found and validated a robust computational pipeline that improves results of existing tools. Most of her dissertation was developed during her stay at Charité – Universitätsmedizin Berlin in the past three years. Layal Abo Khayal started her PhD study in 2010 and oriented to design and validation of intelligent methods, algorithms and pipelines for data processing and visualization in bioinformatics. She worked actively and aimed to achieve important results in bioinformatics. Based on her results, she was supported by South Moravian Centre For International Mobility during her study. Layal worked actively throughout her PhD studies and demonstrated the ability to develop independent creative work, including the ability to present the results. She achieved valuable results in the form of quality publications, including the publication of the core of the dissertation in an article in an impacted journal. I also appreciate the thorough and critical approach to evaluating her own results and trying to maximize verification through numerous in silico experiments, even though this prolonged finalization of her dissertation. I am convinced that Layal has developed a valuable dissertation and has reached the scientific level needed to award the Doctor degree.

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Posudek oponenta

Babula, Petr

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Lexa,, Matej

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