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Comment
. 2021 Jul;39(7):809-810.
doi: 10.1038/s41587-021-00881-z.

Increasing proteomics throughput

Nikolai Slavov  1   2
Affiliations
Comment

Increasing proteomics throughput

Nikolai Slavov. Nat Biotechnol. 2021 Jul.
No abstract available

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Conflict of interest statement

Competing interests

The author declares no competing interests.

Figures

Fig. 1 |
Fig. 1 |. Higher throughput of proteomic analysis increases statistical power.
As the number of samples analyzed per unit time increases, the cost per sample decreases. The increased throughput and reduced cost allow the analysis of more samples, which in turn increases the statistical power of many applications, such as discovering biomarkers and genetic associations. The higher throughput is particularly important for smaller effect sizes that may demand many thousands of samples to be adequately powered.
See this image and copyright information in PMC

Comment on

  • Ultra-fast proteomics with Scanning SWATH.
    Messner CB, Demichev V, Bloomfield N, Yu JSL, White M, Kreidl M, Egger AS, Freiwald A, Ivosev G, Wasim F, Zelezniak A, Jürgens L, Suttorp N, Sander LE, Kurth F, Lilley KS, Mülleder M, Tate S, Ralser M. Messner CB, et al. Nat Biotechnol. 2021 Jul;39(7):846-854. doi: 10.1038/s41587-021-00860-4. Epub 2021 Mar 25. Nat Biotechnol. 2021. PMID: 33767396 Free PMC article.

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