ProteinProcessor: A probabilistic analysis using mass accuracy and the MS spectrum

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ProteinProcessor: A probabilistic analysis using mass accuracy and the MS spectrum

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2016 nî lūn-bûn

@nan

2016年の論文

@ja

2016年論文

@yue

2016年論文

@zh-hant

2016年論文

@zh-hk

2016年論文

@zh-mo

2016年論文

@zh-tw

2016年论文

@wuu

2016年论文

@zh

2016年论文

@zh-cn

name

ProteinProcessor: A probabilistic analysis using mass accuracy and the MS spectrum

@en

ProteinProcessor: A probabilistic analysis using mass accuracy and the MS spectrum.

@nl

type

Item

label

ProteinProcessor: A probabilistic analysis using mass accuracy and the MS spectrum

@en

ProteinProcessor: A probabilistic analysis using mass accuracy and the MS spectrum.

@nl

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ProteinProcessor: A probabilistic analysis using mass accuracy and the MS spectrum

@en

ProteinProcessor: A probabilistic analysis using mass accuracy and the MS spectrum.

@nl

P1476

ProteinProcessor: A probabilistic analysis using mass accuracy and the MS spectrum

@en

P2093

Aaron D Catlin

http://www.w3.org/2001/XMLSchema#string

Alfred L Yergey

http://www.w3.org/2001/XMLSchema#string

Jens R Coorssen

http://www.w3.org/2001/XMLSchema#string

Jonathan A Epstein

http://www.w3.org/2001/XMLSchema#string

Matthew T Olson

http://www.w3.org/2001/XMLSchema#string

Paul S Blank

http://www.w3.org/2001/XMLSchema#string

Peter S Backlund

http://www.w3.org/2001/XMLSchema#string

Stephanie M Cologna

http://www.w3.org/2001/XMLSchema#string

P2860

Identifying proteins from two-dimensional gels by molecular mass searching of peptide fragments in protein sequence databases

Probability-based protein identification by searching sequence databases using mass spectrometry data

An approach to correlate tandem mass spectral data of peptides with amino acid sequences in a protein database

Large-scale analysis of the yeast proteome by multidimensional protein identification technology

A statistical model for identifying proteins by tandem mass spectrometry

Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search

Use of mass spectrometric molecular weight information to identify proteins in sequence databases

Rapid identification of proteins by peptide-mass fingerprinting

Quantitative proteomics analysis of inborn errors of cholesterol synthesis: identification of altered metabolic pathways in DHCR7 and SC5D deficiency

Quantitative proteomic analysis of Niemann-Pick disease, type C1 cerebellum identifies protein biomarkers and provides pathological insight.

P304

2480-2490

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P31

scholarly article

P356

10.1002/PMIC.201600137

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P433

http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

P50

Brian C Searle

P577

2016-08-22T00:00:00Z

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P698

27546229

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P932

5176252

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