Residual tissue repositories as a resource for population-based cancer proteomic studies

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Residual tissue repositories as a resource for population-based cancer proteomic studies

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im Januar 2018 veröffentlichter wissenschaftlicher Artikel

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scientific article published on 03 August 2018

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wetenschappelijk artikel

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наукова стаття, опублікована у 2018

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Residual tissue repositories as a resource for population-based cancer proteomic studies

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Residual tissue repositories as a resource for population-based cancer proteomic studies

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Residual tissue repositories as a resource for population-based cancer proteomic studies

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Residual tissue repositories as a resource for population-based cancer proteomic studies

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Residual tissue repositories as a resource for population-based cancer proteomic studies

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Residual tissue repositories as a resource for population-based cancer proteomic studies

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P1476

Residual tissue repositories as a resource for population-based cancer proteomic studies

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P2093

Danielle M Carrick

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Emily S Boja

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Hala Makhlouf

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Henry Rodriguez

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Jamie Moon

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Karl K Weitz

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Marina A Gritsenko

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Richard D Smith

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Rodrigo F Chuaqui

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Ryan L Sontag

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P2860

Bioconductor: open software development for computational biology and bioinformatics

Hallmarks of Cancer: The Next Generation

Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Impact of pre-analytical factors on the proteomic analysis of formalin-fixed paraffin-embedded tissue

SEER cancer registry biospecimen research: yesterday and tomorrow

limma powers differential expression analyses for RNA-sequencing and microarray studies

Proteome, phosphoproteome, and N-glycoproteome are quantitatively preserved in formalin-fixed paraffin-embedded tissue and analyzable by high-resolution mass spectrometry.

DeconMSn: a software tool for accurate parent ion monoisotopic mass determination for tandem mass spectra.

DtaRefinery, a software tool for elimination of systematic errors from parent ion mass measurements in tandem mass spectra data sets.

Quantitative proteomic analysis of formalin-fixed and paraffin-embedded nasopharyngeal carcinoma using iTRAQ labeling, two-dimensional liquid chromatography, and tandem mass spectrometry.

P2888

s12014-018-9202-4

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P31

scholarly article

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10.1186/S12014-018-9202-4

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English

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P478

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P50

Paul D. Piehowski

Jerry Ssu-Hsien Lee

Karin Rodland

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2018-08-03T00:00:00Z

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P6179

1105973952

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P698

30087585

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P921

molecular medicine

molecular biology

P932

6074037

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