HyperQuant—A Computational Pipeline for Higher Order Multiplexed Quantitative Proteomics-Reference-Cited by-同舟云学术

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HyperQuant—A Computational Pipeline for Higher Order Multiplexed Quantitative Proteomics

Published:2020-05-07 Issue:19 Volume:5 Page:10857-10867
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Aggarwal Suruchi¹²³^ORCID,Kumar Ajay¹,Jamwal Shilpa¹,Midha Mukul Kumar¹,Talukdar Narayan Chandra²³,Yadav Amit Kumar¹^ORCID

Affiliation:

1. Translational Health Science and Technology Institute, NCR Biotech Science Cluster, 3rd Milestone, Faridabad−Gurgaon Expressway, Faridabad 121001, Haryana, India

2. Division of Life Sciences, Institute of Advanced Study in Science and Technology, Vigyan Path, Paschim Boragaon, Garchuk, Guwahati, Assam 781035, India

3. Department of Molecular Biology and Biotechnology, Cotton University, Panbazar, Guwahati, Assam 781001, India

Funder

Indian Council of Medical Research

Department of Biotechnology , Ministry of Science and Technology

Publisher

American Chemical Society (ACS)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.acs.org/doi/pdf/10.1021/acsomega.0c00515

Reference51 articles.

1. Sample Multiplexing Strategies in Quantitative Proteomics

2. Quantitative mass spectrometry in proteomics: a critical review

3. Stable Isotope Labeling by Amino Acids in Cell Culture, SILAC, as a Simple and Accurate Approach to Expression Proteomics

4. False Discovery Rate Estimation in Proteomics

5. Multiplexed Protein Quantitation in Saccharomyces cerevisiae Using Amine-reactive Isobaric Tagging Reagents

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