Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Natalia Rutecka"'
Publikováno v:
Algorithms for Molecular Biology, Vol 19, Iss 1, Pp 1-20 (2024)
Abstract We present a novel problem, called MetaEC, which aims to infer gene-species assignments in a collection of partially leaf-labeled gene trees labels by minimizing the size of duplication episode clustering (EC). This problem is particularly r
Externí odkaz:
https://doaj.org/article/922f8957c5a64170bb34a2be69ef8247
Publikováno v:
Algorithms for Molecular Biology, Vol 17, Iss 1, Pp 1-23 (2022)
Abstract Background Phylogenetic networks are mathematical models of evolutionary processes involving reticulate events such as hybridization, recombination, or horizontal gene transfer. One of the crucial notions in phylogenetic network modelling is
Externí odkaz:
https://doaj.org/article/88846ebb3626459aabf1dcf6c788d238
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031221040
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62a2f4e294f1e186e1ee236efd3cfca4
https://doi.org/10.1007/978-3-031-22105-7_52
https://doi.org/10.1007/978-3-031-22105-7_52
Autor:
Adrianna Pyrek, Laura Eliszewska, Natalia Rutecka, Agnieszka Owczarczyk-Saczonek, Waldemar Placek
Publikováno v:
Forum Dermatologicum.
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031221040
Gene trees inferred from alignments of molecular sequences are usually unrooted. Since the root of a gene tree is often the desired property, one of the most classical problems in computational biology is gene tree rooting, where the goal is to infer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::319d79d0c31bc185c3672aa232e25bf6
https://doi.org/10.1007/978-3-031-22105-7_37
https://doi.org/10.1007/978-3-031-22105-7_37