Zobrazeno 1 - 10
of 415
pro vyhledávání: '"Karp Peter D"'
Autor:
Sun, Gwanggyu, DeFelice, Mialy M., Gillies, Taryn E., Ahn-Horst, Travis A., Andrews, Cecelia J., Krummenacker, Markus, Karp, Peter D., Morrison, Jerry H., Covert, Markus W.
Publikováno v:
In Cell Systems 20 March 2024 15(3):227-245
Autor:
Karp, Peter D.
This document compares SRI's Pathway Tools (PTools) software with the Reactome software. Both software systems serve the pathway bioinformatics area, including representation and analysis of metabolic pathways and signaling pathways. The comparison c
Externí odkaz:
http://arxiv.org/abs/2009.13690
Publikováno v:
BMC Bioinformatics, Vol 13, Iss 1, p 243 (2012)
Abstract Background Biologists are elucidating complex collections of genetic regulatory data for multiple organisms. Software is needed for such regulatory network data. Results The Pathway Tools software supports storage and manipulation of regulat
Externí odkaz:
https://doaj.org/article/b59117f97de648cab65b23826f01e107
Autor:
Karp Peter D, Latendresse Mario
Publikováno v:
BMC Bioinformatics, Vol 12, Iss 1, p 176 (2011)
Abstract Background Displaying complex metabolic-map diagrams, for Web browsers, and allowing users to interact with them for querying and overlaying expression data over them is challenging. Description We present a Web-based metabolic-map diagram,
Externí odkaz:
https://doaj.org/article/7a254aafa46c4deba743e34c281daf4b
Publikováno v:
BMC Bioinformatics, Vol 11, Iss 1, p 493 (2010)
Abstract Background Genome context methods have been introduced in the last decade as automatic methods to predict functional relatedness between genes in a target genome using the patterns of existence and relative locations of the homologs of those
Externí odkaz:
https://doaj.org/article/b6122a089bbb4979a73d3b1af849f86d
Publikováno v:
BMC Bioinformatics, Vol 11, Iss 1, p 15 (2010)
Abstract Background A key challenge in systems biology is the reconstruction of an organism's metabolic network from its genome sequence. One strategy for addressing this problem is to predict which metabolic pathways, from a reference database of kn
Externí odkaz:
https://doaj.org/article/4ed588c9092d4faead02aef9db59364e
Autor:
Pouliot Yannick, Karp Peter D
Publikováno v:
BMC Bioinformatics, Vol 8, Iss 1, p 244 (2007)
Abstract Background Using computational database searches, we have demonstrated previously that no gene sequences could be found for at least 36% of enzyme activities that have been assigned an Enzyme Commission number. Here we present a follow-up li
Externí odkaz:
https://doaj.org/article/e0e7d2833d5942c9bb92b49d35d62156
Autor:
Stringer-Calvert David WJ, Gupta Priyanka, Wagner Valerie, Pouliot Yannick, Lee Thomas J, Tenenbaum Jessica D, Karp Peter D
Publikováno v:
BMC Bioinformatics, Vol 7, Iss 1, p 170 (2006)
Abstract Background This article addresses the problem of interoperation of heterogeneous bioinformatics databases. Results We introduce BioWarehouse, an open source toolkit for constructing bioinformatics database warehouses using the MySQL and Orac
Externí odkaz:
https://doaj.org/article/98e4bbdd87c94bab964494ae41118972
Autor:
Karp Peter D, Martínez-Antonio Agustino, Gama-Castro Socorro, Peralta-Gil Martín, Peñaloza-Spínola Mónica I, Salgado Heladia, Santos-Zavaleta Alberto, Collado-Vides Julio
Publikováno v:
BMC Bioinformatics, Vol 7, Iss 1, p 5 (2006)
Abstract Background Escherichia coli is the model organism for which our knowledge of its regulatory network is the most extensive. Over the last few years, our project has been collecting and curating the literature concerning E. coli transcription
Externí odkaz:
https://doaj.org/article/5121e95d77a640d3b740d20fdbf4b706
Autor:
Karp Peter D, Green Michelle L
Publikováno v:
BMC Bioinformatics, Vol 5, Iss 1, p 76 (2004)
Abstract Background The PathoLogic program constructs Pathway/Genome databases by using a genome's annotation to predict the set of metabolic pathways present in an organism. PathoLogic determines the set of reactions composing those pathways from th
Externí odkaz:
https://doaj.org/article/6444260819f7491c9176085714317c81