Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Petr Ryšavý"'
Autor:
Petr Ryšavý, Filip Železný
Publikováno v:
BioData Mining, Vol 16, Iss 1, Pp 1-20 (2023)
Abstract Motivation Clustering of genetic sequences is one of the key parts of bioinformatics analyses. Resulting phylogenetic trees are beneficial for solving many research questions, including tracing the history of species, studying migration in t
Externí odkaz:
https://doaj.org/article/58df942742954baebac287bb3ef44c89
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-23 (2022)
Abstract Recent research has already shown that circular RNAs (circRNAs) are functional in gene expression regulation and potentially related to diseases. Due to their stability, circRNAs can also be used as biomarkers for diagnosis. However, the fun
Externí odkaz:
https://doaj.org/article/6f075229ca2e46ca9f2e757d3995531c
Autor:
Iva Trsová, Monika Belickova, Andrea Hrustincova, Monika Kaisrlikova, Zuzana Lenertova, David Kundrat, Zdenek Krejcik, Jitka Vesela, Jiri Klema, Petr Ryšavý, Jaroslav Cermak, Michaela Dostalova Merkerova
Publikováno v:
Blood. 140:4005-4006
Autor:
Iva Trsova, Andrea Hrustincova, Zdenek Krejcik, David Kundrat, Aleš Holoubek, Karolina Staflova, Lucie Janstova, Sarka Vanikova, Katarina Szikszai, Jiri Klema, Petr Rysavy, Monika Belickova, Monika Kaisrlikova, Jitka Vesela, Jaroslav Cermak, Anna Jonasova, Jiri Dostal, Jan Fric, Jan Musil, Michaela Dostalova Merkerova
Publikováno v:
Molecular Oncology, Vol 17, Iss 12, Pp 2565-2583 (2023)
Mutations in the splicing factor 3b subunit 1 (SF3B1) gene are frequent in myelodysplastic neoplasms (MDS). Because the splicing process is involved in the production of circular RNAs (circRNAs), we investigated the impact of SF3B1 mutations on circR
Externí odkaz:
https://doaj.org/article/cf124e1e1eda474f8d617a5629fc916b
Autor:
Petr Ryšavý, Filip Železný
Computing mutual similarity of biological sequences such as DNA molecules is essential for significant biological tasks such as hierarchical clustering of genomes. Current sequencing technologies do not provide the content of entire biological sequen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27cb50f896364473b9b9794a39b8f539
Autor:
Petr Ryšavý, Filip Železný
Publikováno v:
Advances in Intelligent Data Analysis XVI ISBN: 9783319687643
IDA
IDA
A key task in computational biology is to determine mutual similarity of two genomic sequences. Current bio-technologies are usually not able to determine the full sequential content of a genome from biological material, and rather produce a set of l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e407b9a26d1b1cca6f2ce0bd158caac
https://doi.org/10.1007/978-3-319-68765-0_23
https://doi.org/10.1007/978-3-319-68765-0_23
Autor:
Filip Železný, Petr Ryšavý
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319463483
IDA
IDA
Clustering biological sequences is a central task in bioinformatics. The typical result of new-generation sequencers is a set of short substrings (“reads”) of a target sequence, rather than the sequence itself. To cluster sequences given only the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::448b1e13a23e9cd7d0568dbdd7c604fa
https://doi.org/10.1007/978-3-319-46349-0_18
https://doi.org/10.1007/978-3-319-46349-0_18