Finding our way through phenotypes.

Autor: Andrew R Deans, Suzanna E Lewis, Eva Huala, Salvatore S Anzaldo, Michael Ashburner, James P Balhoff, David C Blackburn, Judith A Blake, J Gordon Burleigh, Bruno Chanet, Laurel D Cooper, Mélanie Courtot, Sándor Csösz, Hong Cui, Wasila Dahdul, Sandip Das, T Alexander Dececchi, Agnes Dettai, Rui Diogo, Robert E Druzinsky, Michel Dumontier, Nico M Franz, Frank Friedrich, George V Gkoutos, Melissa Haendel, Luke J Harmon, Terry F Hayamizu, Yongqun He, Heather M Hines, Nizar Ibrahim, Laura M Jackson, Pankaj Jaiswal, Christina James-Zorn, Sebastian Köhler, Guillaume Lecointre, Hilmar Lapp, Carolyn J Lawrence, Nicolas Le Novère, John G Lundberg, James Macklin, Austin R Mast, Peter E Midford, István Mikó, Christopher J Mungall, Anika Oellrich, David Osumi-Sutherland, Helen Parkinson, Martín J Ramírez, Stefan Richter, Peter N Robinson, Alan Ruttenberg, Katja S Schulz, Erik Segerdell, Katja C Seltmann, Michael J Sharkey, Aaron D Smith, Barry Smith, Chelsea D Specht, R Burke Squires, Robert W Thacker, Anne Thessen, Jose Fernandez-Triana, Mauno Vihinen, Peter D Vize, Lars Vogt, Christine E Wall, Ramona L Walls, Monte Westerfeld, Robert A Wharton, Christian S Wirkner, James B Woolley, Matthew J Yoder, Aaron M Zorn, Paula Mabee

Publikováno v: PLoS Biology, Vol 13, Iss 1, p e1002033 (2015)

Despite a large and multifaceted effort to understand the vast landscape of phenotypic data, their current form inhibits productive data analysis. The lack of a community-wide, consensus-based, human- and machine-interpretable language for describing

Externí odkaz: https://doaj.org/article/c6769cb8ebf0434ea3c4cd1a41ec45d2

The mouse Gene Expression Database (GXD): 2019 update

Autor: Terry F. Hayamizu, David R. Shaw, Sharon C Giannatto, Jeffrey Campbell, Dave B. Miers, James A. Kadin, Jonathan S Beal, Cynthia L. Smith, Jill R. Lewis, Richard M. Baldarelli, Jacqueline H. Finger, Pete J. Frost, Joel E. Richardson, Martin Ringwald, Susan M. Bello, Jingxia Xu, Constance M. Smith, Ingeborg J. McCright, Lori E. Corbani

Publikováno v: Nucleic Acids Research

The mouse Gene Expression Database (GXD) is an extensive, well-curated community resource freely available at www.informatics.jax.org/expression.shtml. Covering all developmental stages, GXD includes data from RNA in situ hybridization, immunohistoch

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e65cb75ca00bc6b49fe3005b077c14a
https://doi.org/10.1093/nar/gky922

The mouse gene expression database: New features and how to use them effectively

Autor: Ingeborg J. McCright, Terry F. Hayamizu, Janan T. Eppig, Joel E. Richardson, James A. Kadin, Constance M. Smith, Jacqueline H. Finger, Jingxia Xu, Martin Ringwald

Publikováno v: genesis. 53:510-522

The Gene Expression Database (GXD) is an extensive and freely available community resource of mouse developmental expression data. GXD curates and integrates expression data from the literature, via electronic data submissions, and by collaborations

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c499c638f2d2f34ebf89e6c9d36b9a26
https://doi.org/10.1002/dvg.22864

Textual Anatomics

Autor: Martin Ringwald, Terry F. Hayamizu

The Atlas of Mouse Development has served as a principal reference for mouse anatomists and developmental biologists and has also provided a crucial basis for databases that represent and integrate data relating to developmental anatomy. Using the At

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::00abdf62086a8c8a83e08a205f2a5c96
https://doi.org/10.1016/b978-0-12-800043-4.00023-3

The caBIG terminology review process

Autor: Grace A. Stafford, Olivier Bodenreider, Brian Davis, Martin Ringwald, James J. Cimino, Terry F. Hayamizu

Publikováno v: Journal of Biomedical Informatics. 42(3):571-580

The National Cancer Institute (NCI) is developing an integrated biomedical informatics infrastructure, the cancer Biomedical Informatics Grid (caBIG®), to support collaboration within the cancer research community. A key part of the caBIG architectu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb29becb2cf40fc3069e1f9c46e3b900