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Sebastian Sakowski
Sebastian Sakowski
University of Lodz, Faculty of Mathematics and Computer Science
Verified email at wmii.uni.lodz.pl
Title
Cited by
Cited by
Year
Autonomous push-down automaton built on DNA
T Krasinski, S Sakowski, T Poplawski
Informatica 36 (3), 263-276, 2012
252012
Extended Shapiro finite state automaton built on DNA
T Krasiński, S Sakowski
Foundations of Computing and Decision Sciences 33 (3), 241-255, 2008
142008
Predicting pathogenicity behavior in Escherichia coli population through a state dependent model and TRS profiling
K Bartoszek, M Majchrzak, S Sakowski, AB Kubiak-Szeligowska, I Kaj, ...
PLoS computational biology 14 (1), e1005931, 2018
92018
Biomolecular computers with multiple restriction enzymes
S Sakowski, T Krasinski, J Waldmajer, J Sarnik, J Blasiak, T Poplawski
Genetics and molecular biology 40 (4), 860-870, 2017
82017
Arithmetical analysis of biomolecular finite automaton
T Krasiński, S Sakowski, J Waldmajer, T Popławski
Fundamenta Informaticae 128 (4), 463-474, 2013
82013
Towards an autonomous multistate biomolecular devices built on DNA
T Krasiński, S Sakowski, T Poplawski
Proceedings of the World Congress on Nature and Biologically Inspired …, 2014
62014
Theory of tailor automata
J Waldmajer, Z Bonikowski, S Sakowski
Theoretical Computer Science 785, 60-82, 2019
52019
A detailed experimental study of a DNA computer with two endonucleases
S Sakowski, T Krasiński, J Sarnik, J Blasiak, J Waldmajer, T Poplawski
Zeitschrift für Naturforschung C 72 (7-8), 303-313, 2017
52017
DNA computing: concepts for medical applications
S Sakowski, J Waldmajer, I Majsterek, T Poplawski
Applied Sciences 12 (14), 6928, 2022
42022
A review of models and practical implementations of DNA computation
T Krasiński, S Sakowski
Studia Informatica 29 (4A), 5-30, 2008
4*2008
A theoretical model of the Shapiro finite state automaton built on DNA
T Krasiński, S Sakowski
Theoretical and Applied Informatics 18 (3), 161-174, 2006
42006
A solution to the problem of the maximal number of symbols for biomolecular computer
J Waldmajer, S Sakowski
Informatica 43 (4), 485–494, 2019
32019
DNA computing
J Błasiak, T Krasiński, T Popławski, S Sakowski
Postepy biochemii 57 (1), 13-23, 2010
22010
More powerful biomolecular computers
J Blasiak, T Krasinski, T Poplawski, S Sakowski
Preprint arXiv, 2011
12011
Extension of the biomolecular Shapiro automaton
S Sakowski
PhD thesis. Institute of Computer Science, The Silesian University of Technology, 2011
1*2011
Machine learning-based prediction of rheumatoid arthritis with development of ACPA autoantibodies in the presence of non-HLA genes polymorphisms
G Dudek, S Sakowski, O Brzezińska, J Sarnik, T Budlewski, G Dragan, ...
Plos one 19 (3), e0300717, 2024
2024
The Association between Inefficient Repair of DNA Double-Strand Breaks and Common Polymorphisms of the HRR and NHEJ Repair Genes in Patients with Rheumatoid Arthritis
G Galita, J Sarnik, O Brzezinska, T Budlewski, M Poplawska, S Sakowski, ...
International Journal of Molecular Sciences 25 (5), 2619, 2024
2024
New Genetic Markers Differentiating IPEC and ExPEC Pathotypes—A New Approach to Genome-Wide Analysis Using a New Bioinformatics Tool
M Majchrzak, S Sakowski, J Waldmajer, P Parniewski
International Journal of Molecular Sciences 24 (5), 4681, 2023
2023
Summarizing Global SARS-CoV-2 Geographical Spread by Phylogenetic Multitype Branching Models
HC Kiang, K Bartoszek, S Sakowski, SM Iacus, M Vespe
Lecture Notes in Computer Science 13483, 170-184, 2022
2022
Using multitype branching models to analyze bacterial pathogenicity
D Tahir, I Kaj, K Bartoszek, M Majchrzak, P Parniewski, S Sakowski
Mathematica Applicanda 48 (1), 59-86, 2020
2020
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Articles 1–20