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of 4
pro vyhledávání: '"Mikel Arrospide-Elgarresta"'
Autor:
Javier Cabau-Laporta, Alex M. Ascensión, Mikel Arrospide-Elgarresta, Daniela Gerovska, Marcos J. Araúzo-Bravo
Publikováno v:
Frontiers in Cell and Developmental Biology, Vol 9 (2021)
High-throughput cell-data technologies such as single-cell RNA-seq create a demand for algorithms for automatic cell classification and characterization. There exist several cell classification ontologies with complementary information. However, one
Externí odkaz:
https://doaj.org/article/7ba878be2c9748e696c76b3f44ebdad2
Publikováno v:
BMC Bioinformatics, Vol 18, Iss 1, Pp 1-18 (2017)
Abstract Background Superenhancers are crucial structural genomic elements determining cell fate, and they are also involved in the determination of several diseases, such as cancer or neurodegeneration. Although there are pipelines which use indepen
Externí odkaz:
https://doaj.org/article/d59ca3be9fa54b21a2b182796752f05e
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 18, Iss 1, Pp 1-18 (2017)
BMC Bioinformatics, Vol 18, Iss 1, Pp 1-18 (2017)
Background Superenhancers are crucial structural genomic elements determining cell fate, and they are also involved in the determination of several diseases, such as cancer or neurodegeneration. Although there are pipelines which use independent piec
Autor:
Phuc-Loi Luu, Mikel Arrospide-Elgarresta, Hans R. Schöler, Marcos J. Araúzo-Bravo, Daniela Gerovska, Sugoi Retegi-Carrión
Publikováno v:
Bioinformatics (Oxford, England). 33(3)
Motivation Bisulfite sequencing (BSseq) processing is among the most cumbersome next generation sequencing (NGS) applications. Though some BSseq processing tools are available, they are scattered, require puzzling parameters and are running-time and