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Computational Systems Biology - Home

Computational Systems Biology Group (CNB-CSIC). Welcome to the web space of the Computational Systems Biology Group. We are integrated in the Systems Biology Program. Of the National Centre for Biotechnology (CNB-CSIC). Use the links above to access the different sections. EMBO Workshop - Integrating genomics and biophysics to comprehend functional genetic variation. 8 - 10 September 2017 (Turin, Italy). Last updates and changes. MBROLE 2.0 server. 2012, Computational Systems Biology Group. CNB-CSIC.

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Computational Systems Biology - Home | csbg.cnb.csic.es Reviews
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Computational Systems Biology Group (CNB-CSIC). Welcome to the web space of the Computational Systems Biology Group. We are integrated in the Systems Biology Program. Of the National Centre for Biotechnology (CNB-CSIC). Use the links above to access the different sections. EMBO Workshop - Integrating genomics and biophysics to comprehend functional genetic variation. 8 - 10 September 2017 (Turin, Italy). Last updates and changes. MBROLE 2.0 server. 2012, Computational Systems Biology Group. CNB-CSIC.
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Computational Systems Biology - Home | csbg.cnb.csic.es Reviews

https://csbg.cnb.csic.es

Computational Systems Biology Group (CNB-CSIC). Welcome to the web space of the Computational Systems Biology Group. We are integrated in the Systems Biology Program. Of the National Centre for Biotechnology (CNB-CSIC). Use the links above to access the different sections. EMBO Workshop - Integrating genomics and biophysics to comprehend functional genetic variation. 8 - 10 September 2017 (Turin, Italy). Last updates and changes. MBROLE 2.0 server. 2012, Computational Systems Biology Group. CNB-CSIC.

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Disorder in A. thaliana - Computational Systems Biology Group

http://csbg.cnb.csic.es/dis_Ath

Protein Disorder in Arabidopsis thaliana. Implications for Plant Environmental Adaptation. More information and links. Natalia Pietrosemoli, Juan A. García-Martín, Roberto Solano and Florencio Pazos (2013). Genome-Wide Analysis of Protein Disorder in Arabidopsis thaliana: Implications for Plant Environmental Adaptation. PLoS One. 2012, Computational Systems Biology Group. CNB-CSIC.

2

Detection of signigicant protein co-evolution - Computational Systems Biology Group

http://csbg.cnb.csic.es/sig_coevol

Detection of significant protein co-evolution. More information and links. David Ochoa, David Juan, Valencia, A. and Florencio Pazos (2015). Detection of significant protein co-evolution. Bioinformatics. PMT software and datasets. 2015, Computational Systems Biology Group. CNB-CSIC.

3

Florencio Pazos. Xdet - MTreedet

http://csbg.cnb.csic.es/pazos/Xdet

Implements two methods for detecting residues responsible for functional especificity in multiple sequence alignments. These kind of positions, presenting a family-dependent (or function-dependent) conservation pattern, complement the fully-conserved positions as predictors of functionality. They are usually related to functional specificity. The first method is the "mutational behaviour (MB) method", previously implemented in the MTreedet. Is freely available for academic users. Other users, please ...

4

Tools for the functional interpretation of metabolomic experiments - Computational Systems Biology Group

http://csbg.cnb.csic.es/metab_rev

Tools for the functional interpretation of metabolomic experiments. Approaches (e.g genomics. Seek to massively characterizing the molecular repertories of living systems. Among them, metabolomics. Tries to determine the set of metabolites in a given biological system. As metabolomic techniques develop and allow characterizing larger sets of metabolites, researchers need automatic methods to interpret their experimental results. We can classify these tools in two groups:. More information and links.

5

Biological significance of GO terms and relationships - Computational Systems Biology Group

http://csbg.cnb.csic.es/eval_GO

Biological significance of GO terms and relationships. The scientific community should recognize that classification is a purposeful human activity that reflects observations about relationships among properties of phenomena. As a variety of relationships occur in nature, different classification schemes can coexist. On the other hand, classification that does not reflect true relationships can misguide scientific discourse". J Parsons and Y. Wand "A question of class" Nature (2008) 455:1040-1041. We add...

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Computational Systems Biology - Home

Computational Systems Biology Group (CNB-CSIC). Welcome to the web space of the Computational Systems Biology Group. We are integrated in the Systems Biology Program. Of the National Centre for Biotechnology (CNB-CSIC). Use the links above to access the different sections. EMBO Workshop - Integrating genomics and biophysics to comprehend functional genetic variation. 8 - 10 September 2017 (Turin, Italy). Last updates and changes. MBROLE 2.0 server. 2012, Computational Systems Biology Group. CNB-CSIC.

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