| Literature DB >> 30908818 |
Aleksey Y Ogurtsov1, Gelio Alves1, Yi-Kuo Yu1.
Abstract
Mass spectrometry-based proteomics starts with identifications of peptides and proteins, which provide the bases for forming the next-level hypotheses whose "validations" are often employed for forming even higher level hypotheses and so forth. Scientifically meaningful conclusions are thus attainable only if the number of falsely identified peptides/proteins is accurately controlled. For this reason, RAId continued to be developed in the past decade. RAId employs rigorous statistics for peptides/proteins identification, hence assigning accurate P-values/E-values that can be used confidently to control the number of falsely identified peptides and proteins. The RAId web service is a versatile tool built to identify peptides and proteins from tandem mass spectrometry data. Not only recognizing various spectra file formats, the web service also allows four peptide scoring functions and choice of three statistical methods for assigning P-values/E-values to identified peptides. Users may upload their own protein database or use one of the available knowledge integrated organismal databases that contain annotated information such as single amino acid polymorphisms, post-translational modifications, and their disease associations. The web service also provides a friendly interface to display, sort using different criteria, and download the identified peptides and proteins. RAId web service is freely available at https://www.ncbi.nlm.nih.gov/CBBresearch/Yu/raid. Published 2019. This article is a U.S. Government work and is in the public domain in the USA. Proteomics Published by WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.Entities:
Keywords: MS/MS data analyses; knowledge-integrated database; peptide/protein identifications; proportion of false discoveries; statistical significance assignment
Mesh:
Year: 2019 PMID: 30908818 PMCID: PMC6635056 DOI: 10.1002/pmic.201800367
Source DB: PubMed Journal: Proteomics ISSN: 1615-9853 Impact factor: 3.984