Data Processing Has Major Impact on the Outcome of Quantitative Label-Free LC-MS Analysis-Reference-Cited by-同舟云学术

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Data Processing Has Major Impact on the Outcome of Quantitative Label-Free LC-MS Analysis

Published:2014-11-26 Issue:2 Volume:14 Page:676-687
ISSN:1535-3893
Container-title:Journal of Proteome Research
language:en
Short-container-title:J. Proteome Res.

Author:

Chawade Aakash¹,Sandin Marianne¹,Teleman Johan¹²,Malmström Johan²,Levander Fredrik¹³

Affiliation:

1. Department of Immunotechnology, Medicon Village, Lund University, Scheelevägen 2, S-223 63 Lund, Sweden

2. Department of Clinical Sciences, Faculty of Medicine, Lund University, SE-221 84 Lund, Sweden

3. Bioinformatics Infrastructure for Life Sciences (BILS), Lund University, P.O. Box 117, 221 00 Lund, Sweden

Funder

Vetenskapsrådet

European Research Council

Stiftelsen för Strategisk Forskning

Stiftelsen for Miljostrategisk Forskning

Publisher

American Chemical Society (ACS)

Subject

General Chemistry,Biochemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/pr500665j

Reference30 articles.

1. Options and considerations when selecting a quantitative proteomics strategy

2. Bioinformatic Challenges in Targeted Proteomics

3. Data processing methods and quality control strategies for label-free LC–MS protein quantification

4. Current challenges in software solutions for mass spectrometry-based quantitative proteomics

5. Tools for Label-free Peptide Quantification

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