Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Rodolfo S. Allendes Osorio"'
Publikováno v:
Frontiers in Bioinformatics, Vol 2 (2022)
Optimizing and automating a protocol for 16S microbiome data analysis with QIIME2 is a challenging task. It involves a multi-step process, and multiple parameters and options that need to be tested and determined. In this article, we describe Snaq, a
Externí odkaz:
https://doaj.org/article/ca02dad871fc4ee993941b8dfda2fee5
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-12 (2019)
Abstract Background When visually comparing the results of hierarchical clustering, the differences in the arrangements of components are of special interest. However, in a biological setting, identifying such differences becomes less straightforward
Externí odkaz:
https://doaj.org/article/e239d3c2b0b64670b1b6aae7daca6916
Autor:
Rodolfo S. Allendes Osorio, Johan T. Nyström-Persson, Yosui Nojima, Yuji Kosugi, Kenji Mizuguchi, Yayoi Natsume-Kitatani
Publikováno v:
Heliyon, Vol 6, Iss 8, Pp e04618- (2020)
Multi-omics analyses, combining transcriptomics, genomics, proteomics, and so on, have led to important insights in many areas of biology and medicine. To support these analyses, software that can handle the difficulties associated with multi-omics d
Externí odkaz:
https://doaj.org/article/2b9468d5957346cbbe0cec5907358381
Publikováno v:
Bioinformatics. 38:4454-4456
Summary We introduce the newest version of TargetMine, which includes the addition of new visualization options; integration of previously disaggregated functionality; and the migration of the front-end to the newly available Bluegenes service. Avail
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fbe59bf5564531da85a29f28d7575fd3
https://doi.org/10.1093/bioinformatics/btac507
https://doi.org/10.1093/bioinformatics/btac507
Autor:
Saransh Gupta, Haswanth Vundavilli, Rodolfo S. Allendes Osorio, Mari N. Itoh, Attayeb Mohsen, Aniruddha Datta, Kenji Mizuguchi, Lokesh P. Tripathi
Publikováno v:
IEEE journal of biomedical and health informatics. 26(9)
Non-small cell lung cancer (NSCLC) is the most prevalent form of lung cancer and a leading cause of cancer-related deaths worldwide. Using an integrative approach, we analyzed a publicly available merged NSCLC transcriptome dataset using machine lear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::938a65b1967bb8870597190dfa61b976
https://pubmed.ncbi.nlm.nih.gov/35820010
https://pubmed.ncbi.nlm.nih.gov/35820010
Autor:
Yosui Nojima, Rodolfo S. Allendes Osorio, Yuji Kosugi, Kenji Mizuguchi, Yayoi Natsume-Kitatani, Johan Nyström-Persson
Publikováno v:
Heliyon, Vol 6, Iss 8, Pp e04618-(2020)
Heliyon
Heliyon
Multi-omics analyses, combining transcriptomics, genomics, proteomics, and so on, have led to important insights in many areas of biology and medicine. To support these analyses, software that can handle the difficulties associated with multi-omics d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32e9eec6a1adadeda104d344c46fd408
http://www.sciencedirect.com/science/article/pii/S2405844020314626
http://www.sciencedirect.com/science/article/pii/S2405844020314626
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-12 (2019)
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-12 (2019)
Background When visually comparing the results of hierarchical clustering, the differences in the arrangements of components are of special interest. However, in a biological setting, identifying such differences becomes less straightforward, as the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2f164d7cbf310fdf2d334d17125c4c3
https://doi.org/10.1186/s12859-019-3149-y
https://doi.org/10.1186/s12859-019-3149-y
Publikováno v:
Expanding the Frontiers of Visual Analytics and Visualization ISBN: 9781447128038
Expanding the Frontiers of Visual Analytics and Visualization
Expanding the Frontiers of Visual Analytics and Visualization
Most visualization techniques have been designed on the assumption that the data to be represented are free from uncertainty. Yet this is rarely the case. Recently the visualization community has risen to the challenge of incorporating an indication
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::844410dd608a273dfc37e80b2b9d5ed0
https://doi.org/10.1007/978-1-4471-2804-5_6
https://doi.org/10.1007/978-1-4471-2804-5_6
