Mass Spectrometry Data Analysis in the Proteomics Era

作者: Francesca Forner , Leonard Foster , Stefano Toppo

DOI: 10.2174/157489307779314285

关键词:

摘要: With the advent of whole genome sequencing, large-scale proteomics has rapidly come to dominate post- genomic age. As such, tandem mass spectrometry emerged as most promising and powerful technique in this area but analysis raw spectra remains one principle bottlenecks making effective use technology. Analytical approaches for identifying proteins from MS/MS data fall into two categories: comparing measured fragment theoretical sequence databases de novo peptide sequencing. Available methods still have weaknesses, highlighting need new algorithms that are able exploit enormous volume generated by pro- teomic experiments. Recent efforts also been directed towards identification post-translational modifications, biomarker discovery quantitative proteomics. Overall, intended goal review is give thorough possi- ble an overview state-of-the-art tools developed analyze different fields discuss future directions aimed at overcoming limits present methods.

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