Proteomic analysis of colon and rectal carcinoma using standard and customized databases

Robbert J.C. Slebos, Xia Wang, Xaojing Wang, Bing Zhang, David L. Tabb, Daniel C. Liebler

Producción científica: Articlerevisión exhaustiva

21 Citas (Scopus)

Resumen

Understanding proteomic differences underlying the different phenotypic classes of colon and rectal carcinoma is important and may eventually lead to a better assessment of clinical behavior of these cancers. We here present a comprehensive description of the proteomic data obtained from 90 colon and rectal carcinomas previously subjected to genomic analysis by The Cancer Genome Atlas (TCGA). Here, the primary instrument files and derived secondary data files are compiled and presented in forms that will allow further analyses of the biology of colon and rectal carcinoma. We also discuss new challenges in processing these large proteomic datasets for relevant proteins and protein variants.

Idioma originalEnglish (US)
Número de artículo150022
PublicaciónScientific Data
Volumen2
DOI
EstadoPublished - jun 23 2015
Publicado de forma externa

ASJC Scopus subject areas

  • Information Systems
  • Education
  • Library and Information Sciences
  • Statistics and Probability
  • Computer Science Applications
  • Statistics, Probability and Uncertainty

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