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INTEGRATOR: interactive graphical search of large protein interactomes over the Web
BACKGROUND: The rapid growth of protein interactome data has elevated the necessity and importance of network analysis tools. However, unlike pure text data, network search spaces are of exponential complexity. This poses special challenges for storing, searching, and navigating this data efficientl...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2006
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1459205/ https://www.ncbi.nlm.nih.gov/pubmed/16542421 http://dx.doi.org/10.1186/1471-2105-7-146 |
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author | Chang, Aaron N McDermott, Jason Frazier, Zachary Guerquin, Michal Samudrala, Ram |
author_facet | Chang, Aaron N McDermott, Jason Frazier, Zachary Guerquin, Michal Samudrala, Ram |
author_sort | Chang, Aaron N |
collection | PubMed |
description | BACKGROUND: The rapid growth of protein interactome data has elevated the necessity and importance of network analysis tools. However, unlike pure text data, network search spaces are of exponential complexity. This poses special challenges for storing, searching, and navigating this data efficiently. Moreover, development of effective web interfaces has been difficult. RESULTS: We present Integrator, a web-integrated graphical search tool for protein-protein interaction networks across 50+ genomes. CONCLUSION: Integrator provides single and multiple protein searches of the Bioverse database containing experimentally-derived and predicted protein-protein interactions. The interface provides animated local network views, rapid subgraph manipulation, and cross-referencing of functional annotations. Integrator is available at . |
format | Text |
id | pubmed-1459205 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-14592052006-05-11 INTEGRATOR: interactive graphical search of large protein interactomes over the Web Chang, Aaron N McDermott, Jason Frazier, Zachary Guerquin, Michal Samudrala, Ram BMC Bioinformatics Software BACKGROUND: The rapid growth of protein interactome data has elevated the necessity and importance of network analysis tools. However, unlike pure text data, network search spaces are of exponential complexity. This poses special challenges for storing, searching, and navigating this data efficiently. Moreover, development of effective web interfaces has been difficult. RESULTS: We present Integrator, a web-integrated graphical search tool for protein-protein interaction networks across 50+ genomes. CONCLUSION: Integrator provides single and multiple protein searches of the Bioverse database containing experimentally-derived and predicted protein-protein interactions. The interface provides animated local network views, rapid subgraph manipulation, and cross-referencing of functional annotations. Integrator is available at . BioMed Central 2006-03-16 /pmc/articles/PMC1459205/ /pubmed/16542421 http://dx.doi.org/10.1186/1471-2105-7-146 Text en Copyright © 2006 Chang et al; licensee BioMed Central Ltd. |
spellingShingle | Software Chang, Aaron N McDermott, Jason Frazier, Zachary Guerquin, Michal Samudrala, Ram INTEGRATOR: interactive graphical search of large protein interactomes over the Web |
title | INTEGRATOR: interactive graphical search of large protein interactomes over the Web |
title_full | INTEGRATOR: interactive graphical search of large protein interactomes over the Web |
title_fullStr | INTEGRATOR: interactive graphical search of large protein interactomes over the Web |
title_full_unstemmed | INTEGRATOR: interactive graphical search of large protein interactomes over the Web |
title_short | INTEGRATOR: interactive graphical search of large protein interactomes over the Web |
title_sort | integrator: interactive graphical search of large protein interactomes over the web |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1459205/ https://www.ncbi.nlm.nih.gov/pubmed/16542421 http://dx.doi.org/10.1186/1471-2105-7-146 |
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