Literature DB >> 17621303

How do shotgun proteomics algorithms identify proteins?

Edward M Marcotte1.   

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Year:  2007        PMID： 17621303     DOI： 10.1038/nbt0707-755

Source DB:  PubMed          Journal:  Nat Biotechnol        ISSN： 1087-0156            Impact factor:   54.908


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  24 in total

1.  Synthetic peptide arrays for pathway-level protein monitoring by liquid chromatography-tandem mass spectrometry.

Authors:  Johannes A Hewel; Jian Liu; Kento Onishi; Vincent Fong; Shamanta Chandran; Jonathan B Olsen; Oxana Pogoutse; Mike Schutkowski; Holger Wenschuh; Dirk F H Winkler; Larry Eckler; Peter W Zandstra; Andrew Emili
Journal:  Mol Cell Proteomics       Date:  2010-05-13       Impact factor: 5.911

2.  DeMix-Q: Quantification-Centered Data Processing Workflow.

Authors:  Bo Zhang; Lukas Käll; Roman A Zubarev
Journal:  Mol Cell Proteomics       Date:  2016-01-04       Impact factor: 5.911

Review 3.  Proteomic approaches in research of cyanobacterial photosynthesis.

Authors:  Natalia Battchikova; Martina Angeleri; Eva-Mari Aro
Journal:  Photosynth Res       Date:  2014-10-31       Impact factor: 3.573

4.  Protein fingerprinting with digital sequences of linear protein subsequence volumes: a computational study.

Authors:  G Sampath
Journal:  J Biosci       Date:  2019-06       Impact factor: 1.826

5.  Context-sensitive markov models for peptide scoring and identification from tandem mass spectrometry.

Authors:  Himanshu Grover; Garrick Wallstrom; Christine C Wu; Vanathi Gopalakrishnan
Journal:  OMICS       Date:  2013-01-05

Review 6.  A survey of computational methods and error rate estimation procedures for peptide and protein identification in shotgun proteomics.

Authors:  Alexey I Nesvizhskii
Journal:  J Proteomics       Date:  2010-09-08       Impact factor: 4.044

7.  Spectrum Identification using a Dynamic Bayesian Network Model of Tandem Mass Spectra.

Authors:  Ajit P Singh; John Halloran; Jeff A Bilmes; Katrin Kirchoff; William S Noble
Journal:  Uncertain Artif Intell       Date:  2012-08

Review 8.  Precision Profiling of the Cardiovascular Post-Translationally Modified Proteome: Where There Is a Will, There Is a Way.

Authors:  Justyna Fert-Bober; Christopher I Murray; Sarah J Parker; Jennifer E Van Eyk
Journal:  Circ Res       Date:  2018-04-27       Impact factor: 17.367

9.  OCCAM: prediction of small ORFs in bacterial genomes by means of a target-decoy database approach and machine learning techniques.

Authors:  Fabio R Cerqueira; Ana Tereza Ribeiro Vasconcelos
Journal:  Database (Oxford)       Date:  2020-01-01       Impact factor: 3.451

10.  A bayesian approach to protein inference problem in shotgun proteomics.

Authors:  Yong Fuga Li; Randy J Arnold; Yixue Li; Predrag Radivojac; Quanhu Sheng; Haixu Tang
Journal:  J Comput Biol       Date:  2009-08       Impact factor: 1.479
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