Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Trevor Manz"'
Autor:
Sehi L'Yi, Dominika Maziec, Victoria Stevens, Trevor Manz, Alexander Veit, Michele Berselli, Peter J Park, Dominik Glodzik, Nils Gehlenborg
Whole genome sequencing is now routinely used to profile mutations in DNA in the soma and in the germline, informing molecular diagnoses of disease and therapeutic decisions. Structural variants (SVs) are the main new type of alterations we see more
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b00ad6080f19ae77cc00116b9a6b7e8
https://doi.org/10.31219/osf.io/pyqrx
https://doi.org/10.31219/osf.io/pyqrx
Publikováno v:
Bioinformatics. 39
Summary Gos is a declarative Python library designed to create interactive multiscale visualizations of genomics and epigenomics data. It provides a consistent and simple interface to the flexible Gosling visualization grammar. Gos hides technical co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb29e433f953cca7bca6611e77690738
https://doi.org/10.1093/bioinformatics/btad050
https://doi.org/10.1093/bioinformatics/btad050
Vitessce is an open-source interactive visualization framework for exploration of multi-modal and spatially-resolved single-cell data, with a modular architecture compatible with transcriptomic, proteomic, genome-mapped, and imaging data types. Its m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2faafd49c5f00079636595a299d3ca32
https://doi.org/10.31219/osf.io/y8thv
https://doi.org/10.31219/osf.io/y8thv
Autor:
Richard J. Chen, Ming Y. Lu, Wei-Hung Weng, Tiffany Y. Chen, Drew FK. Williamson, Trevor Manz, Maha Shady, Faisal Mahmood
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision (ICCV).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4e44cd705a480da86c32ad65d5f4d41
https://doi.org/10.1109/iccv48922.2021.00398
https://doi.org/10.1109/iccv48922.2021.00398
Autor:
Trevor Manz, Ilan Gold, Nathan Heath Patterson, Chuck McCallum, Mark S. Keller, Bruce W. Herr, Katy Börner, Jeffrey M. Spraggins, Nils Gehlenborg
Publikováno v:
Nat Methods
Recent advances in highly multiplexed imaging have enabled the comprehensive profiling of complex tissues in healthy and diseased states, facilitating the study of fundamental biology and human disease in spatially-resolved contexts at subcellular re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f4450a35c060ec67b8d047585020406
https://doi.org/10.1038/s41592-022-01482-7
https://doi.org/10.1038/s41592-022-01482-7
Autor:
Trevor Manz, Josh Moore, Chris Allan, Christian Tischer, William J. Moore, Dominik Lindner, Sébastien Besson, Erin Diel, Melissa Linkert, Jason R. Swedlow, Kevin Kozlowski, David Gault, Constantin Pape, Jean-Marie Burel
Publikováno v:
Nature Methods
The rapid pace of innovation in biological imaging and the diversity of its applications have prevented the establishment of a community-agreed standardized data format. We propose that complementing established open formats such as OME-TIFF and HDF5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da4c229e32355e1240adaea6042f89a9
https://pubmed.ncbi.nlm.nih.gov/34845388
https://pubmed.ncbi.nlm.nih.gov/34845388
Autor:
Josh Moore, Chris Allan, Sebastien Besson, Jean-Marie Burel, Erin Diel, David Gault, Kevin Kozlowski, Dominik Lindner, Melissa Linkert, Trevor Manz, Will Moore, Constantin Pape, Christian Tischer, Jason R. Swedlow
SummaryBiological imaging is one of the most innovative fields in the modern biological sciences. New imaging modalities, probes, and analysis tools appear every few months and often prove decisive for enabling new directions in scientific discovery.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe0c3f644c2533450bfa51ca6e5bb47f
https://doi.org/10.1101/2021.03.31.437929
https://doi.org/10.1101/2021.03.31.437929
Autor:
Evon Poon, Anli Yang, Xiao Zhou, Efrat Resnick, Daniel Zaidman, Roni Oren, Yann Jamin, Shingo Kozono, Colin J. Daniel, Ellen M. Langer, Shijie He, Behnam Nabet, Yu-Hong Chen, Christopher M. Browne, Hyuk-Soo Seo, Louis Chesler, Kun Ping Lu, Benika J. Pinch, Rosalie C. Sears, Shin Kibe, Liat Stoler-Barak, Ziv Shulman, Nir London, Samuel Sidi, Christian Dubiella, Thomas Look, Nicholas E. Vangos, Kazuhiro Koikawa, Xiaolan Lian, Chunhui Wang, Nathaniel Gray, Trevor Manz, Jarrod A. Marto, Richa B. Shah, Ezekiel A. Geffken, Sirano Dhe-Paganon, Scott B. Ficarro
The peptidyl-prolyl cis-trans isomerase, Pin1, acts as a unified signaling hub that is exploited in cancer to activate oncogenes and inactivate tumor suppressors, in particular through up-regulation of c-Myc target genes. However, despite considerabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e3ceb5d0f3a7e590d161df59af1ffd9
https://doi.org/10.1101/2020.03.20.998443
https://doi.org/10.1101/2020.03.20.998443
Publikováno v:
IEEE VIS (Short Papers)
Patterns in temporal data can often be found across different scales, such as days, weeks, and months, making effective visualization of time-based data challenging. Here we propose a new approach for providing focus and context in time-based charts
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::463afd644b9099a90d8c26a2561cf7d8