Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Denis Bienroth"'
Autor:
Ziyin Xin, Yujun Cai, Louis T. Dang, Hannah M. S. Burke, Jerico Revote, Natalie Charitakis, Denis Bienroth, Hieu T. Nim, Yuan-Fang Li, Mirana Ramialison
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-16 (2022)
Abstract Background Gene ontology (GO) enrichment analysis is frequently undertaken during exploration of various -omics data sets. Despite the wide array of tools available to biologists to perform this analysis, meaningful visualisation of the over
Externí odkaz:
https://doaj.org/article/8739798a1ad5411a83830f52ed6d44a8
Autor:
Denis Bienroth, Hieu T. Nim, Dimitar Garkov, Karsten Klein, Sabrina Jaeger-Honz, Mirana Ramialison, Falk Schreiber
Publikováno v:
Visual Computing for Industry, Biomedicine, and Art, Vol 5, Iss 1, Pp 1-13 (2022)
Abstract Spatially resolved transcriptomics is an emerging class of high-throughput technologies that enable biologists to systematically investigate the expression of genes along with spatial information. Upon data acquisition, one major hurdle is t
Externí odkaz:
https://doaj.org/article/017e5ea75e9347368e2ec19752d2bed3
Autor:
Denis Bienroth, Natalie Charitakis, Sabrina Jaeger-Honz, Dimitar Garkov, David A. Elliott, Enzo R. Porrello, Karsten Klein, Hieu T. Nim, Falk Schreiber, Mirana Ramialison
Spatially resolved transcriptomics (SRT) technologies produce complex, multi-dimensional data sets of gene expression information that can be obtained at subcellular spatial resolution. While several computational tools are available to process and a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d40caddc5177bf9ba6569640c67de42
https://doi.org/10.1101/2023.03.31.535025
https://doi.org/10.1101/2023.03.31.535025
Autor:
Mirana Ramialison, Mauro W. Costa, Nadia Rosenthal, Enzo R. Porrello, Céline Vivien, Fernando J. Rossello, Milena B. Furtado, Natalie Charitakis, Andrew J. Perry, Monika Mohenska, Denis Bienroth, Jessica Hatwell-Humble, Jose M. Polo, Karel van Duijvenboden, Yuan M.M. Ji, Nathalia M. Tan, Gonzalo del Monte-Nieto, Susan K. Nilsson, Hieu T. Nim, David R. Powell, David A. Elliott, Alex Tokolyi, Anja S Knaupp, Francesca Bolk
Publikováno v:
Journal of molecular and cellular cardiology, 163, 20-32. Academic Press Inc.
Understanding the spatial gene expression and regulation in the heart is key to uncovering its developmental and physiological processes, during homeostasis and disease. Numerous techniques exist to gain gene expression and regulation information in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::910e8862570e8d227d6125f8c7e303f6
https://pure.amc.nl/en/publications/3dcardiomics(0e492cd4-bee7-4821-879e-8c9000618ccb).html
https://pure.amc.nl/en/publications/3dcardiomics(0e492cd4-bee7-4821-879e-8c9000618ccb).html
Autor:
Denis Bienroth, Hieu T. Nim, Dimitar Garkov, Karsten Klein, Sabrina Jaeger-Honz, Mirana Ramialison, Falk Schreiber
Publikováno v:
Visual Computing for Industry, Biomedicine, and Art
Visual Computing for Industry, Biomedicine, and Art, Vol 5, Iss 1, Pp 1-13 (2022)
Visual Computing for Industry, Biomedicine, and Art, Vol 5, Iss 1, Pp 1-13 (2022)
Spatially resolved transcriptomics is an emerging class of high-throughput technologies that enable biologists to systematically investigate the expression of genes along with spatial information. Upon data acquisition, one major hurdle is the subseq
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3683fb392977e65123bf638a01b794a1
https://pubmed.ncbi.nlm.nih.gov/35001220
https://pubmed.ncbi.nlm.nih.gov/35001220