MetaMass, a tool for meta-analysis of subcellular proteomics data

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064203%3A_____%2F16%3A10332482" target="_blank" >RIV/00064203:_____/16:10332482 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11130/16:10332482
Result on the web
<a href="http://dx.doi.org/10.1038/nmeth.3967" target="_blank" >http://dx.doi.org/10.1038/nmeth.3967</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1038/nmeth.3967" target="_blank" >10.1038/nmeth.3967</a>

Result language
angličtina
Original language name
MetaMass, a tool for meta-analysis of subcellular proteomics data
Original language description
We report a tool for the analysis of subcellular proteomics data, called MetaMass, based on the use of standardized lists of subcellular markers. We analyzed data from 11 studies using MetaMass, mapping the subcellular location of 5,970 proteins. Our analysis revealed large variations in the performance of subcellular fractionation protocols as well as systematic biases in protein annotation databases. The Excel and R versions of MetaMass should enhance transparency and reproducibility in subcellular proteomics.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
FD - Oncology and haematology
OECD FORD branch
—

Project
<a href="/en/project/LO1604" target="_blank" >LO1604: CLIP Leukemia: cell analysis 2.0</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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