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SPIKE: a database of highly curated human signaling pathways
The rapid accumulation of knowledge on biological signaling pathways and their regulatory mechanisms has highlighted the need for specific repositories that can store, organize and allow retrieval of pathway information in a way that will be useful for the research community. SPIKE (Signaling Pathwa...
Autores principales: | , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3014840/ https://www.ncbi.nlm.nih.gov/pubmed/21097778 http://dx.doi.org/10.1093/nar/gkq1167 |
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author | Paz, Arnon Brownstein, Zippora Ber, Yaara Bialik, Shani David, Eyal Sagir, Dorit Ulitsky, Igor Elkon, Ran Kimchi, Adi Avraham, Karen B. Shiloh, Yosef Shamir, Ron |
author_facet | Paz, Arnon Brownstein, Zippora Ber, Yaara Bialik, Shani David, Eyal Sagir, Dorit Ulitsky, Igor Elkon, Ran Kimchi, Adi Avraham, Karen B. Shiloh, Yosef Shamir, Ron |
author_sort | Paz, Arnon |
collection | PubMed |
description | The rapid accumulation of knowledge on biological signaling pathways and their regulatory mechanisms has highlighted the need for specific repositories that can store, organize and allow retrieval of pathway information in a way that will be useful for the research community. SPIKE (Signaling Pathways Integrated Knowledge Engine; http://www.cs.tau.ac.il/&~spike/) is a database for achieving this goal, containing highly curated interactions for particular human pathways, along with literature-referenced information on the nature of each interaction. To make database population and pathway comprehension straightforward, a simple yet informative data model is used, and pathways are laid out as maps that reflect the curator’s understanding and make the utilization of the pathways easy. The database currently focuses primarily on pathways describing DNA damage response, cell cycle, programmed cell death and hearing related pathways. Pathways are regularly updated, and additional pathways are gradually added. The complete database and the individual maps are freely exportable in several formats. The database is accompanied by a stand-alone software tool for analysis and dynamic visualization of pathways. |
format | Text |
id | pubmed-3014840 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-30148402011-01-05 SPIKE: a database of highly curated human signaling pathways Paz, Arnon Brownstein, Zippora Ber, Yaara Bialik, Shani David, Eyal Sagir, Dorit Ulitsky, Igor Elkon, Ran Kimchi, Adi Avraham, Karen B. Shiloh, Yosef Shamir, Ron Nucleic Acids Res Articles The rapid accumulation of knowledge on biological signaling pathways and their regulatory mechanisms has highlighted the need for specific repositories that can store, organize and allow retrieval of pathway information in a way that will be useful for the research community. SPIKE (Signaling Pathways Integrated Knowledge Engine; http://www.cs.tau.ac.il/&~spike/) is a database for achieving this goal, containing highly curated interactions for particular human pathways, along with literature-referenced information on the nature of each interaction. To make database population and pathway comprehension straightforward, a simple yet informative data model is used, and pathways are laid out as maps that reflect the curator’s understanding and make the utilization of the pathways easy. The database currently focuses primarily on pathways describing DNA damage response, cell cycle, programmed cell death and hearing related pathways. Pathways are regularly updated, and additional pathways are gradually added. The complete database and the individual maps are freely exportable in several formats. The database is accompanied by a stand-alone software tool for analysis and dynamic visualization of pathways. Oxford University Press 2011-01 2010-11-19 /pmc/articles/PMC3014840/ /pubmed/21097778 http://dx.doi.org/10.1093/nar/gkq1167 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Paz, Arnon Brownstein, Zippora Ber, Yaara Bialik, Shani David, Eyal Sagir, Dorit Ulitsky, Igor Elkon, Ran Kimchi, Adi Avraham, Karen B. Shiloh, Yosef Shamir, Ron SPIKE: a database of highly curated human signaling pathways |
title | SPIKE: a database of highly curated human signaling pathways |
title_full | SPIKE: a database of highly curated human signaling pathways |
title_fullStr | SPIKE: a database of highly curated human signaling pathways |
title_full_unstemmed | SPIKE: a database of highly curated human signaling pathways |
title_short | SPIKE: a database of highly curated human signaling pathways |
title_sort | spike: a database of highly curated human signaling pathways |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3014840/ https://www.ncbi.nlm.nih.gov/pubmed/21097778 http://dx.doi.org/10.1093/nar/gkq1167 |
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