Zobrazeno 1 - 8
of 8
pro vyhledávání: '"PEDRO R. ROMERO"'
Autor:
Miron Livny, Eldon L. Ulrich, Kumaran Baskaran, Yannis Ioannidis, Hesam Dashti, Pedro R Romero, Hongyang Yao, Hamid R. Eghbalnia, Jonathan R. Wedell, Jeffrey C. Hoch, John L. Markley, Dimitri Maziuk
Publikováno v:
Journal of biomolecular NMR
The growth of the biological nuclear magnetic resonance (NMR) field and the development of new experimental technology have mandated the revision and enlargement of the NMR-STAR ontology used to represent experiments, spectral and derived data, and s
Autor:
Jonathan R. Wedell, Genji Kurusu, John L. Markley, Toshimichi Fujiwara, Hongyang Yao, Jeffrey C. Hoch, Naohiro Kobayashi, Masashi Yokochi, Eldon L. Ulrich, Pedro R Romero, Dimitri Maziuk, Takeshi Iwata, Kumaran Baskaran
Publikováno v:
Methods in Molecular Biology ISBN: 9781071602690
Methods Mol Biol
Methods Mol Biol
The Biological Magnetic Resonance Data Bank (BioMagResBank or BMRB), founded in 1988, serves as the archive for data generated by nuclear magnetic resonance (NMR) spectroscopy of biological systems. NMR spectroscopy is unique among biophysical approa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::431fe4403eea7b70d0af46d9078bc822
https://doi.org/10.1007/978-1-0716-0270-6_14
https://doi.org/10.1007/978-1-0716-0270-6_14
Autor:
Miron Livny, Frank Delaglio, Adam D. Schuyler, Mark W. Maciejewski, Michael R. Gryk, Eldon L. Ulrich, Jeffrey C. Hoch, Ion I. Moraru, Hamid R. Eghbalnia, Pedro R Romero
Publikováno v:
Biophysical Journal. 112:1529-1534
Advances in computation have been enabling many recent advances in biomolecular applications of NMR. Due to the wide diversity of applications of NMR, the number and variety of software packages for processing and analyzing NMR data is quite large, w
Autor:
Michael R. Gryk, Pedro R Romero, Mark W. Maciejewski, Jon Wedell, Adam D. Schuyler, Gerard Weatherby
Publikováno v:
JCDL
Scientific data repositories exist to provide access to research data as well as to promote their reuse. Research data communities currently recognize the FAIR Data Principles [1] as the standard for supporting the aforementioned goals. FAIR consists
Autor:
Eldon L. Ulrich, Hamid R. Eghbalnia, John L. Markley, Pedro R Romero, William M. Westler, Kumaran Baskaran
The metabolome, the collection of small molecules associated with an organism, is a growing subject of inquiry, with the data utilized for data-intensive systems biology, disease diagnostics, biomarker discovery, and the broader characterization of s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44bef585c4b79bc0e1fa7a43c4b977e6
https://europepmc.org/articles/PMC5305618/
https://europepmc.org/articles/PMC5305618/
Autor:
Bin Xue, Jingwei Meng, Fei Huang, Wei-Lun Hsu, Xiaowen Liu, Vladimir N. Uversky, A. Keith Dunker, Pedro R Romero, Christopher J. Oldfield, Li Shen
Publikováno v:
BMC Bioinformatics
During the production of our manuscript [1], an incorrect Figure Figure11 was put in place of the one we submitted, and we erred in not appropriately informing the production staff of this mistake. The corrected figure and the text describing this
Publikováno v:
Biocomputing 2003.
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