Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 2 de 2
Filtrar
Mais filtros










Base de dados
Intervalo de ano de publicação
1.
Mol Cell Proteomics ; 16(2): 300-309, 2017 02.
Artigo em Inglês | MEDLINE | ID: mdl-27890865

RESUMO

The rapidly growing number of biomedical studies supported by mass spectrometry based quantitative proteomics data has made it increasingly difficult to obtain an overview of the current status of the research field. A better way of organizing the biomedical proteomics information from these studies and making it available to the research community is therefore called for. In the presented work, we have investigated scientific publications describing the analysis of the cerebrospinal fluid proteome in relation to multiple sclerosis, Parkinson's disease and Alzheimer's disease. Based on a detailed set of filtering criteria we extracted 85 data sets containing quantitative information for close to 2000 proteins. This information was made available in CSF-PR 2.0 (http://probe.uib.no/csf-pr-2.0), which includes novel approaches for filtering, visualizing and comparing quantitative proteomics information in an interactive and user-friendly environment. CSF-PR 2.0 will be an invaluable resource for anyone interested in quantitative proteomics on cerebrospinal fluid.


Assuntos
Proteínas do Líquido Cefalorraquidiano/análise , Doenças Neurodegenerativas/metabolismo , Proteômica/métodos , Bases de Dados de Proteínas , Conjuntos de Dados como Assunto , Humanos , Espectrometria de Massas/métodos , Navegador
2.
Adv Exp Med Biol ; 919: 227-235, 2016.
Artigo em Inglês | MEDLINE | ID: mdl-27975220

RESUMO

Shotgun proteomics is a high throughput technique for protein identification able to identify up to several thousand proteins from a single sample. In order to make sense of this large amount of data, proteomics analysis software is needed, aimed at making the data intuitively accessible to beginners as well as experienced scientists. This chapter provides insight on where to start when analyzing shotgun proteomics data, with a focus on explaining the most common pitfalls in protein identification analysis and how to avoid them. Finally, the move to seeing beyond the list of identified proteins and to putting the results into a bigger biological context is discussed.


Assuntos
Biologia Computacional/métodos , Mineração de Dados/métodos , Bases de Dados de Proteínas , Proteínas/análise , Proteoma , Proteômica/métodos , Algoritmos , Animais , Ensaios de Triagem em Larga Escala , Humanos , Reprodutibilidade dos Testes , Ferramenta de Busca , Software , Interface Usuário-Computador , Fluxo de Trabalho
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA
...