How could IonStar challenge the current status quo of quantitative proteomics in large sample cohorts?

Shichen Shen; Xue Wang; Benjamin C. Orsburn; Jun Qu

doi:10.1080/14789450.2018.1490646

How could IonStar challenge the current status quo of quantitative proteomics in large sample cohorts?

Shichen Shen
, Xue Wang
, Benjamin C. Orsburn
, Jun Qu

Pharmaceutical Sciences

SUNY Buffalo
Roswell Park Cancer Institute
Leidos Inc

Research output: Contribution to journal › Editorial

5 Scopus citations

Original language	English
Pages (from-to)	541-543
Number of pages	3
Journal	Expert Review of Proteomics
Volume	15
Issue number	7
DOIs	https://doi.org/10.1080/14789450.2018.1490646
State	Published - Jul 3 2018

Keywords

ionstar
large scale analysis
Quantitative proteomics

Access to Document

10.1080/14789450.2018.1490646

Cite this

@article{3bbfb6650c204e82bf1f49509ee42cda,

title = "How could IonStar challenge the current status quo of quantitative proteomics in large sample cohorts?",

keywords = "ionstar, large scale analysis, Quantitative proteomics",

author = "Shichen Shen and Xue Wang and Orsburn, \{Benjamin C.\} and Jun Qu",

year = "2018",

month = jul,

day = "3",

doi = "10.1080/14789450.2018.1490646",

language = "English",

volume = "15",

pages = "541--543",

journal = "Expert Review of Proteomics",

issn = "1478-9450",