A Systematic Bioinformatics Approach to Identify High Quality Mass Spectrometry Data and Functionally Annotate Proteins and Proteomes-Reference-Cited by-同舟云学术

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A Systematic Bioinformatics Approach to Identify High Quality Mass Spectrometry Data and Functionally Annotate Proteins and Proteomes

Published:2016-12-15 Issue: Volume: Page:163-176
ISSN:1064-3745
Container-title:Methods in Molecular Biology
language:
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Author:

Islam Mohammad Tawhidul,Mohamedali Abidali,Ahn Seong Beom,Nawar Ishmam,Baker Mark S.,Ranganathan Shoba

Publisher

Springer New York

Link

http://link.springer.com/content/pdf/10.1007/978-1-4939-6740-7_13

Reference40 articles.

1. Laukens K, Naulaerts S, Berghe WV (2015) Bioinformatics approaches for the functional interpretation of protein lists: from ontology term enrichment to network analysis. Proteomics 15(5-6):981–996. doi: 10.1002/pmic.201400296

2. Kumar C, Mann M (2009) Bioinformatics analysis of mass spectrometry-based proteomics data sets. FEBS Lett 583(11):1703–1712. doi: 10.1016/j.febslet.2009.03.035

3. Carnielli CM, Winck FV, Paes Leme AF (2015) Functional annotation and biological interpretation of proteomics data. Biochim Biophys Acta 1854(1):46–54. doi: 10.1016/j.bbapap.2014.10.019

4. Draghici S, Khatri P, Martins RP, Ostermeier GC, Krawetz SA (2003) Global functional profiling of gene expression. Genomics 81(2):98–104. doi: 10.1016/S0888-7543(02)00021-6

5. Khatri P, Draghici S (2005) Ontological analysis of gene expression data: current tools, limitations, and open problems. Bioinformatics 21(18):3587–3595. doi: 10.1093/bioinformatics/bti565

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Identification of Proteins From Proteomic Analysis;Encyclopedia of Bioinformatics and Computational Biology;2019

2. Clinical Proteomics;Encyclopedia of Bioinformatics and Computational Biology;2019

3. Accelerating the search for the missing proteins in the human proteome;Nature Communications;2017-01-24

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