Zobrazeno 1 - 10
of 218
pro vyhledávání: '"Eric W Deutsch"'
Autor:
Ivo D Dinov, Ben Heavner, Ming Tang, Gustavo Glusman, Kyle Chard, Mike Darcy, Ravi Madduri, Judy Pa, Cathie Spino, Carl Kesselman, Ian Foster, Eric W Deutsch, Nathan D Price, John D Van Horn, Joseph Ames, Kristi Clark, Leroy Hood, Benjamin M Hampstead, William Dauer, Arthur W Toga
Publikováno v:
PLoS ONE, Vol 11, Iss 8, p e0157077 (2016)
BACKGROUND:A unique archive of Big Data on Parkinson's Disease is collected, managed and disseminated by the Parkinson's Progression Markers Initiative (PPMI). The integration of such complex and heterogeneous Big Data from multiple sources offers un
Externí odkaz:
https://doaj.org/article/ca430ef7d7a84ff78b823dffaac7fd15
Autor:
Etienne Caron, Lucia Espona, Daniel J Kowalewski, Heiko Schuster, Nicola Ternette, Adán Alpízar, Ralf B Schittenhelm, Sri H Ramarathinam, Cecilia S Lindestam Arlehamn, Ching Chiek Koh, Ludovic C Gillet, Armin Rabsteyn, Pedro Navarro, Sangtae Kim, Henry Lam, Theo Sturm, Miguel Marcilla, Alessandro Sette, David S Campbell, Eric W Deutsch, Robert L Moritz, Anthony W Purcell, Hans-Georg Rammensee, Stefan Stevanovic, Ruedi Aebersold
Publikováno v:
eLife, Vol 4 (2015)
We present a novel mass spectrometry-based high-throughput workflow and an open-source computational and data resource to reproducibly identify and quantify HLA-associated peptides. Collectively, the resources support the generation of HLA allele-spe
Externí odkaz:
https://doaj.org/article/0e99e90a2fc84f9e8fae2ad0ee1ea415
Autor:
Christopher Ashwood, Wout Bittremieux, Eric W. Deutsch, Nadezhda T. Doncheva, Viktoria Dorfer, Ralf Gabriels, Vladimir Gorshkov, Surya Gupta, Andrew R. Jones, Lukas Käll, Dominik Kopczynski, Lydie Lane, Ludwig Lautenbacher, Marc Legeay, Marie Locard-Paulet, Bart Mesuere, Yasset Perez-Riverol, Eugen Netz, Julianus Pfeuffer, Timo Sachsenberg, Renee Salz, Patroklos Samaras, Henning Schiebenhoefer, Tobias Schmidt, Veit Schwämmle, Alessio Soggiu, Julian Uszkoreit, Tim Van Den Bossche, Bart Van Puyvelde, Joeri Van Strien, Pieter Verschaffelt, Henry Webel, Sander Willems
Publikováno v:
EuPA Open Proteomics, Vol 24, Iss , Pp 1-6 (2020)
The 2020 European Bioinformatics Community for Mass Spectrometry (EuBIC-MS) Developers’ meeting was held from January 13th to January 17th 2020 in Nyborg, Denmark. Among the participants were scientists as well as developers working in the field of
Externí odkaz:
https://doaj.org/article/89b6c3b9a90f4f73b2e9b77d5a0186f4
Autor:
Subash Adhikari, Edouard C. Nice, Eric W. Deutsch, Lydie Lane, Gilbert S. Omenn, Stephen R. Pennington, Young-Ki Paik, Christopher M. Overall, Fernando J. Corrales, Ileana M. Cristea, Jennifer E. Van Eyk, Mathias Uhlén, Cecilia Lindskog, Daniel W. Chan, Amos Bairoch, James C. Waddington, Joshua L. Justice, Joshua LaBaer, Henry Rodriguez, Fuchu He, Markus Kostrzewa, Peipei Ping, Rebekah L. Gundry, Peter Stewart, Sanjeeva Srivastava, Sudhir Srivastava, Fabio C. S. Nogueira, Gilberto B. Domont, Yves Vandenbrouck, Maggie P. Y. Lam, Sara Wennersten, Juan Antonio Vizcaino, Marc Wilkins, Jochen M. Schwenk, Emma Lundberg, Nuno Bandeira, Gyorgy Marko-Varga, Susan T. Weintraub, Charles Pineau, Ulrike Kusebauch, Robert L. Moritz, Seong Beom Ahn, Magnus Palmblad, Michael P. Snyder, Ruedi Aebersold, Mark S. Baker
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-16 (2020)
The Human Proteome Project (HPP) was launched in 2010 to enhance accurate annotation of the genome-encoded proteome. Ten years later, the HPP releases its first blueprint of the human proteome, annotating 90% of all known proteins at high-stringency
Externí odkaz:
https://doaj.org/article/bb037a5bb053476e9a3946b7578e5277
Autor:
Eric W Deutsch, Nuno Bandeira, Yasset Perez-Riverol, Vagisha Sharma, Jeremy J Carver, Luis Mendoza, Deepti J Kundu, Shengbo Wang, Chakradhar Bandla, Selvakumar Kamatchinathan, Suresh Hewapathirana, Benjamin S Pullman, Julie Wertz, Zhi Sun, Shin Kawano, Shujiro Okuda, Yu Watanabe, Brendan MacLean, Michael J MacCoss, Yunping Zhu, Yasushi Ishihama, Juan Antonio Vizcaíno
Publikováno v:
Nucleic Acids Research. 51:D1539-D1548
Mass spectrometry (MS) is by far the most used experimental approach in high-throughput proteomics. The ProteomeXchange (PX) consortium of proteomics resources (http://www.proteomexchange.org) was originally set up to standardize data submission and
Autor:
Gilbert S. Omenn, Lydie Lane, Christopher M. Overall, Charles Pineau, Nicolle H. Packer, Ileana M. Cristea, Cecilia Lindskog, Susan T. Weintraub, Sandra Orchard, Michael H. A. Roehrl, Edouard Nice, Siqi Liu, Nuno Bandeira, Yu-Ju Chen, Tiannan Guo, Ruedi Aebersold, Robert L. Moritz, Eric W. Deutsch
Publikováno v:
J Proteome Res
Journal of Proteome Research
Journal of Proteome Research, 2023, 22 (4), pp.1024-1042. ⟨10.1021/acs.jproteome.2c00498⟩
Journal of Proteome Research
Journal of Proteome Research, 2023, 22 (4), pp.1024-1042. ⟨10.1021/acs.jproteome.2c00498⟩
International audience; The 2022 Metrics of the Human Proteome from the HUPO Human Proteome Project (HPP) illustrates that protein expression has now been credibly detected (neXtProt PE1 level) for 18,407 (93.2%) of the 19,750 predicted proteins code
Autor:
John R. Prensner, Jennifer G. Abelin, Leron W. Kok, Karl R. Clauser, Jonathan M. Mudge, Jorge Ruiz-Orera, Michal Bassani-Sternberg, Eric W. Deutsch, Sebastiaan van Heesch
Publikováno v:
bioRxiv
Ribosome profiling (Ribo-seq) has proven transformative for our understanding of the human genome and proteome by illuminating thousands of non-canonical sites of ribosome translation outside of the currently annotated coding sequences (CDSs). A cons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04a840ce9ffe188ebdd004e14f72306e
https://doi.org/10.1101/2023.05.16.541049
https://doi.org/10.1101/2023.05.16.541049
Publikováno v:
Journal of Proteome Research.
Autor:
Benjamin A. Neely, Viktoria Dorfer, Lennart Martens, Isabell Bludau, Robbin Bouwmeester, Sven Degroeve, Eric W. Deutsch, Siegfried Gessulat, Lukas Käll, Pawel Palczynski, Samuel H. Payne, Tobias Greisager Rehfeldt, Tobias Schmidt, Veit Schwämmle, Julian Uszkoreit, Juan Antonio Vizcaíno, Mathias Wilhelm, Magnus Palmblad
Publikováno v:
JOURNAL OF PROTEOME RESEARCH
Journal of Proteome Research, 22(3), 681-696. AMER CHEMICAL SOC
Journal of Proteome Research, 22(3), 681-696. AMER CHEMICAL SOC
In recent years machine learning has made extensive progress in modeling many aspects of mass spectrometry data. We brought together proteomics data generators, repository managers, and machine learning experts in a workshop with the goals to evaluat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dfc4ca9a0380127a89a8b4a6f3f41108
https://hdl.handle.net/1887/3590801
https://hdl.handle.net/1887/3590801
Autor:
Tobias G. Rehfeldt, Ralf Gabriels, Robbin Bouwmeester, Siegfried Gessulat, Benjamin A. Neely, Magnus Palmblad, Yasset Perez-Riverol, Tobias Schmidt, Juan Antonio Vizcaíno, Eric W. Deutsch
Publikováno v:
Journal of Proteome Research, 22(2), 632-636. AMER CHEMICAL SOC
JOURNAL OF PROTEOME RESEARCH
JOURNAL OF PROTEOME RESEARCH
Data set acquisition and curation are often the most difficult and time-consuming parts of a machine learning endeavor. This is especially true for proteomics-based liquid chromatography (LC) coupled to mass spectrometry (MS) data sets, due to the hi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::836e703fc3403d47ed95c4b6be9f9465
https://hdl.handle.net/1887/3593850
https://hdl.handle.net/1887/3593850