J
Jaroslav Zendulka
Researcher at Brno University of Technology
Publications - 37
Citations - 1191
Jaroslav Zendulka is an academic researcher from Brno University of Technology. The author has contributed to research in topics: Cluster analysis & Object (computer science). The author has an hindex of 9, co-authored 37 publications receiving 816 citations.
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Journal ArticleDOI
PredictSNP: robust and accurate consensus classifier for prediction of disease-related mutations.
Jaroslav Bendl,Jan Stourac,Ondrej Salanda,Antonín Pavelka,Eric D. Wieben,Jaroslav Zendulka,Jan Brezovsky,Jiri Damborsky +7 more
TL;DR: This study constructed three independent datasets by removing all duplicities, inconsistencies and mutations previously used in the training of evaluated prediction tools, and returned results for all mutations, confirming that consensus prediction represents an accurate and robust alternative to the predictions delivered by individual tools.
Journal ArticleDOI
PredictSNP2: A Unified Platform for Accurately Evaluating SNP Effects by Exploiting the Different Characteristics of Variants in Distinct Genomic Regions.
Jaroslav Bendl,Jaroslav Bendl,Milos Musil,Milos Musil,Jan Stourac,Jaroslav Zendulka,Jiří Damborský,Jan Brezovský +7 more
TL;DR: A user-friendly web interface was developed that provides easy access to the five tools’ predictions, and their consensus scores, in a user-understandable format tailored to the specific features of different categories of variations.
Journal ArticleDOI
pqsfinder: an exhaustive and imperfection-tolerant search tool for potential quadruplex-forming sequences in R.
TL;DR: A newly developed Bioconductor package for identifying potential quadruplex‐forming sequences (PQS), which allows for sequence searches that accommodate possible divergences from the optimal G4 base composition and demonstrates that the algorithm behind the searches has a 96% accuracy.
Journal ArticleDOI
FireProt: web server for automated design of thermostable proteins
Milos Musil,Milos Musil,Jan Stourac,Jaroslav Bendl,Jaroslav Bendl,Jan Brezovsky,Zbynek Prokop,Jaroslav Zendulka,Tomáš Martínek,Tomáš Martínek,David Bednar,Jiri Damborsky +11 more
TL;DR: FireProt is a web server for the automated design of multiple-point thermostable mutant proteins that combines structural and evolutionary information in its calculation core and is complemented with interactive, easy-to-use interface that allows users to directly analyze and optionally modify designed thermostably mutants.
Proceedings ArticleDOI
Ouroboros: early identification of at-risk students without models based on legacy data
TL;DR: The concept of a "self-learner" that builds the machine learning models from the data generated during the current course, which utilises information about already submitted assessments, and introduces the problem of imbalanced data for training and testing the classification models.