Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Benjamin A Neely"'
Autor:
Yuming Jiang, Devasahayam Arokia Balaya Rex, Dina Schuster, Benjamin A. Neely, Germán L. Rosano, Norbert Volkmar, Amanda Momenzadeh, Trenton M. Peters-Clarke, Susan B. Egbert, Simion Kreimer, Emma H. Doud, Oliver M. Crook, Amit Kumar Yadav, Muralidharan Vanuopadath, Adrian D. Hegeman, Martín L. Mayta, Anna G. Duboff, Nicholas M. Riley, Robert L. Moritz, Jesse G. Meyer
Publikováno v:
ACS Measurement Science Au, Vol 4, Iss 4, Pp 338-417 (2024)
Externí odkaz:
https://doaj.org/article/77b50bdc366d4ecc8281c0455ca0c0c7
Autor:
Daniel J. Becker, Guang-Sheng Lei, Michael G. Janech, Alison M. Bland, M. Brock Fenton, Nancy B. Simmons, Ryan F. Relich, Benjamin A. Neely
Publikováno v:
Frontiers in Virology, Vol 2 (2022)
The apparent ability of bats to harbor many virulent viruses without showing disease is likely driven by distinct immune responses that coevolved with mammalian flight and the exceptional longevity of this order. Yet our understanding of the immune m
Externí odkaz:
https://doaj.org/article/4459478b42d84b299e7c886a414d6dd3
Autor:
Rob Marissen, Madhushri S. Varunjikar, Jeroen F. J. Laros, Josef D. Rasinger, Benjamin A. Neely, Magnus Palmblad
Publikováno v:
Journal of Proteome Research, 22(2), 514-519. AMER CHEMICAL SOC
Journal of Proteome Research
Journal of Proteome Research
It has long been known that biological species can be identified from mass spectrometry data alone. Ten years ago, we described a method and software tool, compareMS2, for calculating a distance between sets of tandem mass spectra, as routinely colle
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
Autor:
Cassandra L. Pegg, Benjamin L. Schulz, Benjamin A. Neely, Gregory F. Albery, Colin J. Carlson
Publikováno v:
Molecular ecologyREFERENCES.
The sugars that coat the outsides of viruses and host cells are key to successful disease transmission, but they remain understudied compared to other molecular features. Understanding the comparative zoology of glycosylation - and harnessing it for
Autor:
Jochen B. W. Wolf, Alan Tracey, Matthew Breen, Saurabh D. Pophaly, Claire R. Peart, Jonathan Wood, Christina L. Williams, Bee Ling Ng, Benjamin A. Neely, David J. Adams, James Torrance, Jeremy A. Johnson, Arkarachai Fungtammasan, Joanna Collins, Kerstin Howe, William Cheng, Olivier Fedrigo, Arang Rhie, Bettina Haase, Ying Sims, Frances M. D. Gulland, Erich D. Jarvis, Joseph I. Hoffman, Michael E. Goebel, Jacquelyn Mountcastle, Giulio Formenti
Publikováno v:
Molecular Ecology Resources. 21:2455-2470
With the advent of chromatin-interaction maps, chromosome-level genome assemblies have become a reality for a wide range of organisms. Scaffolding quality is, however, difficult to judge. To explore this gap, we generated multiple chromosome-scale ge
Autor:
Benjamin A Neely, Christopher E Wilkins, Laura A Marlow, Dariya Malyarenko, Yunee Kim, Alexandr Ignatchenko, Heather Sasinowska, Maciek Sasinowski, Julius O Nyalwidhe, Thomas Kislinger, John A Copland, Richard R Drake
Publikováno v:
PLoS ONE, Vol 11, Iss 4, p e0154074 (2016)
Renal cell carcinoma comprises 2 to 3% of malignancies in adults with the most prevalent subtype being clear-cell RCC (ccRCC). This type of cancer is well characterized at the genomic and transcriptomic level and is associated with a loss of VHL that
Externí odkaz:
https://doaj.org/article/10369ea30c0d4d4086e6400209b1e76a
Autor:
Michelle Heck, Benjamin A. Neely
Publikováno v:
J Proteome Res
For the last century we have relied on model organisms to help understand fundamental biological processes. Now, with advancements in genome sequencing, assembly, and annotation, non-model organisms may be studied with the same advanced bioanalytical
Autor:
Timothée Poisot, Angela L. Rasmussen, Benjamin A. Neely, Sadie J. Ryan, Rebecca C. Christofferson, Stephanie N. Seifert, Liam Brierley, Erin M. Sorrell, Anna R Sjodin, Maxwell J. Farrell, Evan A. Eskew, Emma E. Glennon, Nardus Mollentze, Cara E. Brook, Gregory F. Albery, Daniel J. Becker, Maxwell B. Joseph, Lily E. Cohen, Anna C. Fagre, Colin J. Carlson, Sarah Guth, Tad A. Dallas
Publikováno v:
Nature Microbiology
Better methods to predict and prevent the emergence of zoonotic viruses could support future efforts to reduce the risk of epidemics. We propose a network science framework for understanding and predicting human and animal susceptibility to viral inf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b756f3e4d8de94b2cca7eab89770e5d1
https://eprints.gla.ac.uk/259450/2/259450.pdf
https://eprints.gla.ac.uk/259450/2/259450.pdf