HyperQuant-A Computational Pipeline for Higher Order Multiplexed Quantitative Proteomics.

ABSTRACT: Quantitative proteomics has evolved considerably over the last decade with the advent of higher order multiplexing (HOM) techniques. With the development of methods such as-multitagging, cPILOT, hyperplexing, BONPlex, and MITNCAT, the HOM technique is rapidly taking the center stage in multiplexed quantitative proteomics. These studies combined MS¹ and MS² labels in a single experiment enabling higher sample throughput. While HOM is highly promising, the computational analysis is still a big challenge, as the available tools cannot harness its power completely. We have developed a new quantitative pipeline, HyperQuant to aid in accurately quantitating complex HOM data. The pipeline uses identification results from either MaxQuant or any other search engine and quantit

SUBMITTER: Aggarwal S 

PROVIDER: S-EPMC7240821 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature