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David Juan

Showing results (11-20 of 62) with videos related to

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Molecular Biosystems|October 30, 2012
Incorporating information on predicted solvent accessibility to the co-evolution-based study of protein interactionsDavid Ochoa, Ponciano García-Gutiérrez, David Juan, et al.
Nucleic Acids Research|November 14, 2008
EcID. A database for the inference of functional interactions in E. coliEduardo Andres Leon, Iakes Ezkurdia, Beatriz García, et al.
Nature Communications|May 20, 2020
Extreme differences between human germline and tumor mutation densities are driven by ancestral human-specific deviationsJosé María Heredia-Genestar, Tomàs Marquès-Bonet, David Juan, et al.
BMC Bioinformatics|January 25, 2008
Enhancing the prediction of protein pairings between interacting families using orthology informationJose M G Izarzugaza, David Juan, Carles Pons, et al.
BMC Bioinformatics|September 14, 2011
Selection of organisms for the co-evolution-based study of protein interactionsDorota Herman, David Ochoa, David Juan, et al.
Journal of Molecular Biology|September 6, 2005
Assessing protein co-evolution in the context of the tree of life assists in the prediction of the interactomeFlorencio Pazos, Juan A G Ranea, David Juan, et al.
Biology Open|November 29, 2013
Late-replicating CNVs as a source of new genesDavid Juan, Daniel Rico, Tomas Marques-Bonet, et al.
Methods in Molecular Biology (Clifton, N.J.)|July 2, 2008
Prediction of protein interaction based on similarity of phylogenetic treesFlorencio Pazos, David Juan, Jose M G Izarzugaza, et al.
Plos One|April 9, 2010
Inference of functional relations in predicted protein networks with a machine learning approachBeatriz García-Jiménez, David Juan, Iakes Ezkurdia, et al.
Microorganisms|November 27, 2021
Correction: Telford et al. Expanding the Geographic Characterisation of Epstein-Barr Virus Variation through Gene-Based Approaches. <i>Microorganisms</i> 2020, <i>8</i>, 1686Marco Telford, David A Hughes, David Juan, et al.
Pageof 7

Showing results (11-20 of 62) with videos related to

Sort By:
Pageof 7
Molecular Biosystems|October 30, 2012
Incorporating information on predicted solvent accessibility to the co-evolution-based study of protein interactionsDavid Ochoa, Ponciano García-Gutiérrez, David Juan, et al.
Nucleic Acids Research|November 14, 2008
EcID. A database for the inference of functional interactions in E. coliEduardo Andres Leon, Iakes Ezkurdia, Beatriz García, et al.
Nature Communications|May 20, 2020
Extreme differences between human germline and tumor mutation densities are driven by ancestral human-specific deviationsJosé María Heredia-Genestar, Tomàs Marquès-Bonet, David Juan, et al.
BMC Bioinformatics|January 25, 2008
Enhancing the prediction of protein pairings between interacting families using orthology informationJose M G Izarzugaza, David Juan, Carles Pons, et al.
BMC Bioinformatics|September 14, 2011
Selection of organisms for the co-evolution-based study of protein interactionsDorota Herman, David Ochoa, David Juan, et al.
Journal of Molecular Biology|September 6, 2005
Assessing protein co-evolution in the context of the tree of life assists in the prediction of the interactomeFlorencio Pazos, Juan A G Ranea, David Juan, et al.
Biology Open|November 29, 2013
Late-replicating CNVs as a source of new genesDavid Juan, Daniel Rico, Tomas Marques-Bonet, et al.
Methods in Molecular Biology (Clifton, N.J.)|July 2, 2008
Prediction of protein interaction based on similarity of phylogenetic treesFlorencio Pazos, David Juan, Jose M G Izarzugaza, et al.
Plos One|April 9, 2010
Inference of functional relations in predicted protein networks with a machine learning approachBeatriz García-Jiménez, David Juan, Iakes Ezkurdia, et al.
Microorganisms|November 27, 2021
Correction: Telford et al. Expanding the Geographic Characterisation of Epstein-Barr Virus Variation through Gene-Based Approaches. <i>Microorganisms</i> 2020, <i>8</i>, 1686Marco Telford, David A Hughes, David Juan, et al.
Pageof 7