Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/32479
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Campo DC | Valor | Idioma |
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dc.contributor.author | Maia, Paulo | por |
dc.contributor.author | Pont, Marcellinus | por |
dc.contributor.author | Tomb, Jean-François | por |
dc.contributor.author | Rocha, I. | por |
dc.contributor.author | Rocha, Miguel | por |
dc.date.accessioned | 2015-01-07T15:30:29Z | - |
dc.date.available | 2015-01-07T15:30:29Z | - |
dc.date.issued | 2010 | - |
dc.identifier.isbn | 9783642132131 | por |
dc.identifier.issn | 1860-0794 | por |
dc.identifier.uri | https://hdl.handle.net/1822/32479 | - |
dc.description | Publicado em "Advances in bioinformatics : 4th International Workshop on Practical Applications of Computational Biology and Bioinformatics 2010 (IWPACBB 2010)", ISBN 978-3-642-13213-1 | por |
dc.description.abstract | Elementary Flux Modes (EFMs) have been claimed as one of the most promising approaches for pathway analysis. These are a set of vectors that emerge from the stoichiometric matrix of a biochemical network through the use of convex analysis. The computation of all EFMs of a given network is an NP-hard problem and existing algorithms do not scale well. Moreover, the analysis of results is difficult given the thousands or millions of possible modes generated. In this work, we propose a new plugin, running on top of the OptFlux Metabolic Engineering workbench, whose aims are to ease the analysis of these results and explore synergies among EFM analysis, phenotype simulation and strain optimization. | por |
dc.description.sponsorship | The authors wish to thank the financial support of the Portuguese FCT for the Ph.D grant SFRH/BD/61465/2009 and the company Dupont under the scope of the Dupont European University Support Program Award. | por |
dc.language.iso | eng | por |
dc.publisher | Springer | por |
dc.rights | openAccess | por |
dc.title | Enhancing Elementary Flux Modes analysis using filtering techniques in an integrated environment | por |
dc.type | conferencePaper | - |
dc.peerreviewed | yes | por |
dc.comments | CEB2992 | por |
sdum.publicationstatus | published | por |
oaire.citationStartPage | 217 | por |
oaire.citationEndPage | 224 | por |
oaire.citationConferencePlace | Germany | - |
oaire.citationTitle | Advances in intelligent and soft computing | por |
oaire.citationVolume | 74 | por |
dc.date.updated | 2015-01-02T13:02:59Z | - |
dc.identifier.eissn | 1615-3871 | - |
dc.identifier.doi | 10.1007/978-3-642-13214-8_28 | por |
dc.subject.wos | Science & Technology | por |
sdum.journal | Advances in intelligent and soft computing | por |
sdum.conferencePublication | ADVANCES IN BIOINFORMATICS | por |
Aparece nas coleções: | CEB - Publicações em Revistas/Séries Internacionais / Publications in International Journals/Series |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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document_2992_1.pdf | 662,07 kB | Adobe PDF | Ver/Abrir |