aLFQ: an R-package for estimating absolute protein quantities from label-free LC-MS/MS proteomics data | Zendy

George Rosenberger | Zendy; Christina Ludwig | Zendy; Hannes Röst | Zendy; Ruedi Aebersold | Zendy; Lars Malmström | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

aLFQ: an R-package for estimating absolute protein quantities from label-free LC-MS/MS proteomics data

Author(s) -

George Rosenberger,

Christina Ludwig,

Hannes Röst,

Ruedi Aebersold,

Lars Malmström

Publication year - 2014

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btu200

Subject(s) - normalization (sociology) , raw data , proteomics , computer science , r package , software , quantitative proteomics , data mining , chemistry , computational science , biochemistry , sociology , anthropology , gene , programming language

The determination of absolute quantities of proteins in biological samples is necessary for multiple types of scientific inquiry. While relative quantification has been commonly used in proteomics, few proteomic datasets measuring absolute protein quantities have been reported to date. Various technologies have been applied using different types of input data, e.g. ion intensities or spectral counts, as well as different absolute normalization strategies. To date, a user-friendly and transparent software supporting large-scale absolute protein quantification has been lacking.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research