High-Throughput Identification of Proteins and Unanticipated Sequence Modifications Using a Mass-Based Alignment Algorithm for MS/MS de Novo Sequencing Results-Reference-Cited by-同舟云学术

High-Throughput Identification of Proteins and Unanticipated Sequence Modifications Using a Mass-Based Alignment Algorithm for MS/MS de Novo Sequencing Results

Published:2004-03-10 Issue:8 Volume:76 Page:2220-2230
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Searle Brian C.¹,Dasari Surendra¹,Turner Mark¹,Reddy Ashok P.¹,Choi Dongseok¹,Wilmarth Phillip A.¹,McCormack Ashley L.¹,David Larry L.¹,Nagalla Srinivasa R.¹

Affiliation:

1. Department of Pediatrics, Department of Public Heath & Preventive Medicine, and School of Dentistry, Oregon Health & Sciences University, 3181 SW Sam Jackson Park Road, Portland, Oregon 97239-3098, and Oregon National Primate Research Center, Oregon Health & Sciences University, 505 NW 185th Avenue, Beaverton, Oregon 97006-3448

Publisher

American Chemical Society (ACS)

Subject

Analytical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ac035258x

Reference45 articles.

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

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