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The Pancreatic Expression Database: 2018 update.
Marzec, Jacek; Dayem Ullah, Abu Z; Pirrò, Stefano; Gadaleta, Emanuela; Crnogorac-Jurcevic, Tatjana; Lemoine, Nicholas R; Kocher, Hemant M; Chelala, Claude.
Afiliación
  • Marzec J; Bioinformatics Unit, Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University London, London EC1M 6BQ, UK.
  • Dayem Ullah AZ; Bioinformatics Unit, Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University London, London EC1M 6BQ, UK.
  • Pirrò S; Bioinformatics Unit, Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University London, London EC1M 6BQ, UK.
  • Gadaleta E; Bioinformatics Unit, Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University London, London EC1M 6BQ, UK.
  • Crnogorac-Jurcevic T; Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University London, London EC1M 6BQ, UK.
  • Lemoine NR; Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University London, London EC1M 6BQ, UK.
  • Kocher HM; Centre for Tumour Biology, Barts Cancer Institute, Queen Mary University London, London EC1M 6BQ, UK.
  • Chelala C; Bioinformatics Unit, Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University London, London EC1M 6BQ, UK.
Nucleic Acids Res ; 46(D1): D1107-D1110, 2018 01 04.
Article en En | MEDLINE | ID: mdl-29059374
ABSTRACT
The Pancreatic Expression Database (PED, http//www.pancreasexpression.org) continues to be a major resource for mining pancreatic -omics data a decade after its initial release. Here, we present recent updates to PED and describe its evolution into a comprehensive resource for extracting, analysing and integrating publicly available multi-omics datasets. A new analytical module has been implemented to run in parallel with the existing literature mining functions. This analytical module has been created using rich data content derived from pancreas-related specimens available through the major data repositories (GEO, ArrayExpress) and international initiatives (TCGA, GENIE, CCLE). Researchers have access to a host of functions to tailor analyses to meet their needs. Results are presented using interactive graphics that allow the molecular data to be visualized in a user-friendly manner. Furthermore, researchers are provided with the means to superimpose layers of molecular information to gain greater insight into alterations and the relationships between them. The literature-mining module has been improved with a redesigned web appearance, restructured query platforms and updated annotations. These updates to PED are in preparation for its integration with the Pancreatic Cancer Research Fund Tissue Bank (PCRFTB), a vital resource of pancreas cancer tissue for researchers to support and promote cutting-edge research.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Páncreas / Neoplasias Pancreáticas / Expresión Génica / Bases de Datos Genéticas Límite: Animals / Humans Idioma: En Revista: Nucleic Acids Res Año: 2018 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Páncreas / Neoplasias Pancreáticas / Expresión Génica / Bases de Datos Genéticas Límite: Animals / Humans Idioma: En Revista: Nucleic Acids Res Año: 2018 Tipo del documento: Article País de afiliación: Reino Unido