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The GUDMAP database - an online resource for genitourinary research

Research output: Contribution to journalArticle

  • Simon D. Harding
  • Chris Armit
  • Ying Cheng
  • Bernard Haggarty
  • Derek Houghton
  • Sue Lloyd-MacGilp
  • Xingjun Pi
  • Yogmatee Roochun
  • Mehran Sharghi
  • Christopher Tindal
  • Andrew P. McMahon
  • Brian Gottesman
  • Melissa H. Little
  • Kylie Georgas
  • Bruce J. Aronow
  • S. Steven Potter
  • Eric W. Brunskill
  • E. Michelle Southard-Smith
  • Cathy Mendelsohn
  • Duncan Davidson

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    Rights statement: This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial Share Alike License (http://creativecommons.org/licenses/by-nc-sa/3.0), which permits unrestricted non-commercial use, distribution and reproduction in any medium provided that the original work is properly cited and all further distributions of the work or adaptation are subject to the same Creative Commons License terms.

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http://dev.biologists.org/content/138/13/2845
Original languageEnglish
Pages (from-to)2845-2853
Number of pages9
JournalDevelopment
Volume138
Issue number13
DOIs
Publication statusPublished - 1 Jul 2011

Abstract

The GenitoUrinary Development Molecular Anatomy Project (GUDMAP) is an international consortium working to generate gene expression data and transgenic mice. GUDMAP includes data from large-scale in situ hybridisation screens (wholemount and section) and microarray gene expression data of microdissected, laser-captured and FACS-sorted components of the developing mouse genitourinary (GU) system. These expression data are annotated using a high-resolution anatomy ontology specific to the developing murine GU system. GUDMAP data are freely accessible at www.gudmap.org via easy-to-use interfaces. This curated, high-resolution dataset serves as a powerful resource for biologists, clinicians and bioinformaticians interested in the developing urogenital system. This paper gives examples of how the data have been used to address problems in developmental biology and provides a primer for those wishing to use the database in their own research.

    Research areas

  • EMBRYO, In situ hybridisation, GENE-EXPRESSION ANALYSIS, Database, ARCHIVE, NEPHRON, PATTERNS, Gene expression, RESOLUTION, UPDATE, Microarray, MOUSE KIDNEY, REVEALS, Genitourinary, DEVELOPING KIDNEY

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