Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Susan L. Havre"'
Autor:
Susan L. Havre, Deborah A. Payne, Mudita Singhal, M.S. Weir Lipton, Bobbie-Jo M. Webb-Robertson
Publikováno v:
IEEE Engineering in Medicine and Biology Magazine. 24:50-57
This article presents the motivation for developing visual analysis tools for proteomic data and demonstrates their application to proteomics research with a visualization tool named Peptide Permutation and Protein Prediction, or PQuad, a functioning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e28f39c3929e72213c75525823d35f5
https://doi.org/10.1109/memb.2005.1436460
https://doi.org/10.1109/memb.2005.1436460
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 8:9-20
The ThemeRiver visualization depicts thematic variations over time within a large collection of documents. The thematic changes are shown in the context of a time-line and corresponding external events. The focus on temporal thematic change within a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09e7d6b18aa8f4f0391bb37df639f8a6
https://doi.org/10.1109/2945.981848
https://doi.org/10.1109/2945.981848
Autor:
Joshua N. Adkins, Elena S. Peterson, Mudita Singhal, Christopher S. Oehmen, Kyle R. Klicker, Bobbie-Jo M. Webb-Robertson, Susan L. Havre
Publikováno v:
Bioinformatics. 23:1705-1707
Summary: The visual Platform for Proteomics Peptide and Protein data exploration (PQuad) is a multi-resolution environment that visually integrates genomic and proteomic data for prokaryotic systems, overlays categorical annotation and compares diffe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af2e7c0b2d7e17bc8dcfe5f07f1e3cd8
https://doi.org/10.1093/bioinformatics/btm132
https://doi.org/10.1093/bioinformatics/btm132
Publikováno v:
Visualization and Data Analysis
This paper presents and explores a technique for visually integrating and exploring diverse information. Researchers and analysts seeking knowledge and understanding of complex systems have increasing access to related, but diverse, data. These data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98294821974a90a08994c2c27e22ee1e
https://doi.org/10.1117/12.643492
https://doi.org/10.1117/12.643492
Publikováno v:
INFOVIS
This paper introduces a graphical method for visually presenting and exploring the results of multiple queries simultaneously. This method allows a user to visually compare multiple query result sets, explore various combinations among the query resu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::288db778e5f5c1c92d5648e2ce02c8be
https://doi.org/10.1109/infvis.2001.963287
https://doi.org/10.1109/infvis.2001.963287
Publikováno v:
IEEE Visualization
New high-throughput proteomic techniques generate data faster than biologists can analyze it. Hidden within this massive and complex data are answers to basic questions about how cells function. The data afford an opportunity to take a global or syst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e436e12dde08e5e71a1ec38dcd02ee69
https://doi.org/10.1109/visual.2004.82
https://doi.org/10.1109/visual.2004.82
Publikováno v:
Pacific Symposium on Biocomputing
Current proteomics techniques, such as mass spectrometry, focus on protein identification, usually ignoring most types of modifications beyond post-translational modifications, with the assumption that only a small number of peptides have to be match
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34789f25b46a1ba3e80769417aa01be3
https://doi.org/10.1142/9789812702456_0040
https://doi.org/10.1142/9789812702456_0040
Publikováno v:
INFOVIS
ThemeRiver/sup TM/ is a prototype system that visualizes thematic variations over time within a large collection of documents. The "river" flows from left to right through time, changing width to depict changes in thematic strength of temporally asso
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba46f39f1e25722ca3fb41debc4af3d2
https://doi.org/10.1109/infvis.2000.885098
https://doi.org/10.1109/infvis.2000.885098
Autor:
Bobbie-Jo M. Webb-Robertson, Elena S. Peterson, Mudita Singhal, Kyle R. Klicker, Christopher S. Oehmen, Joshua N. Adkins, Susan L. Havre
Publikováno v:
Bioinformatics; Jul2007, Vol. 23 Issue 13, p1705-1705, 1p