P2P-based Job Assignment For Public Resource Computing

2008 ◽  
pp. 49-60
Author(s):  
Daniela Barbalace ◽  
Pasquale Cozza ◽  
Carlo Mastroianni ◽  
Domenico Talia
Author(s):  
Sijie Ruan ◽  
Jie Bao ◽  
Yuxuan Liang ◽  
Ruiyuan Li ◽  
Tianfu He ◽  
...  

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Harshi Weerakoon ◽  
Jeremy Potriquet ◽  
Alok K. Shah ◽  
Sarah Reed ◽  
Buddhika Jayakody ◽  
...  

AbstractData independent analysis (DIA) exemplified by sequential window acquisition of all theoretical mass spectra (SWATH-MS) provides robust quantitative proteomics data, but the lack of a public primary human T-cell spectral library is a current resource gap. Here, we report the generation of a high-quality spectral library containing data for 4,833 distinct proteins from human T-cells across genetically unrelated donors, covering ~24% proteins of the UniProt/SwissProt reviewed human proteome. SWATH-MS analysis of 18 primary T-cell samples using the new human T-cell spectral library reliably identified and quantified 2,850 proteins at 1% false discovery rate (FDR). In comparison, the larger Pan-human spectral library identified and quantified 2,794 T-cell proteins in the same dataset. As the libraries identified an overlapping set of proteins, combining the two libraries resulted in quantification of 4,078 human T-cell proteins. Collectively, this large data archive will be a useful public resource for human T-cell proteomic studies. The human T-cell library is available at SWATHAtlas and the data are available via ProteomeXchange (PXD019446 and PXD019542) and PeptideAtlas (PASS01587).


2010 ◽  
Vol 11 (1) ◽  
pp. R3 ◽  
Author(s):  
Kumaran Kandasamy ◽  
Sujatha Mohan ◽  
Rajesh Raju ◽  
Shivakumar Keerthikumar ◽  
Ghantasala S SAMEER Kumar ◽  
...  

1976 ◽  
Vol 25 (2) ◽  
pp. 138-145
Author(s):  
Robert D. Gatewood ◽  
Robert J. Teare
Keyword(s):  

2018 ◽  
Vol 34 (2) ◽  
pp. 230-271 ◽  
Author(s):  
Arijit Mukherjee ◽  
Lu�s Vasconcelos
Keyword(s):  

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