PhenUMA Course
The CIBER of Rare Diseases organized the course: "Introduction to the Analysis of Phenotypic and Functional Networks in Rare Diseases" the next 13 and June 14 in Malaga. This course will be taught by Unit 741 researchers, led by Dr. Francisca Sanchez-Jimenez, with the support of the Research Program of Hereditary Metabolic Medicine.
The main objective is to introduce researchers in the use of the platform PhenUMA ( www.phenuma.uma.es) developed by CIBERER 741 unit. The course is organized in a day of theoretical sessions and practical sessions with other use cases.
This course is aimed at researchers without previous experience in the study of biomedical networks.
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SCHEDULE-I. Conceptual Sessions.
Thursday 13 June, 2013 (Hotel D. Curro, c/Sancha de Lara, 7, Málaga)
12:30 Documentation Collection
13:30 Opening by Francisca Sánchez Jiménez (UMA-U741 CIBERER)
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16:00 Session I. Miguel Ángel Medina (UMA-U741 CIBERER)
System Biology for the Study of Rare Diseases
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16:45 Session II. Juan A. García Ranea (UMA-U741 CIBERER)
Modeling of molecular interactions networks and their application in the functional prediction of new targets.
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18:00 Session III. Aurelio A. Moya García (UMA)
Promiscuous drug repositioning
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18:45 Session IV. Armando Reyes-Palomares (UMA-U741 CIBERER)
Integration of phenotypical and fuctional networks
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SCHEDULE-II, Practical Sessions.
Friday 14 June, 2013 (Escuela Técnica Superior de Ingeniería Informática, Campus de Teatinos, Universidad de Málaga)
09:30 Session I: Rocío Rodríguez-López (UMA-U741 CIBERER)
PhenUMA Tutorial: Introduction
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11:30 Session II: Rocío Rodríguez López y Armando Reyes-Palomares
PhenUMA Tutorial: Use cases and examples
15:30 Session III . Rocío Rodríguez-López y Armando Reyes-Palomares
Resources for network analysis
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17:30 Distribution of diplomas and questionnaires
18:00 Clausure.
Practical Session I: PhenUMA Introduction
- In this session we have included an introduction to the type of indentifiers used as input of the application. Additionally, we have included a short introduction to the most relevant public databases (OMIM, Orphanet, NCBI, ect) to search the indentifier of a gene, diseases or phenotype.
- Introduction to all type of relationships stored in the PhenUMA Database: Known, Inferred and using Semantic Similarity (Funtional and Phenotipic)
- Funtionalities: Working with networks, options and how to extract the information.
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Resources:
Donwload slides in PDF Demo: Inputs Demo: PhenExplorer Demo: Handling the interface Demo: Outputs
Sessions II amd III: use cases and examples
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Links to public databases:
- NCBI: http://www.ncbi.nlm.nih.gov/
- Ensembl: http://www.ensembl.org/index.html
- HGNC: http://www.genenames.org/
- OMIM: http://omim.org/
- Orphanet: http://www.orpha.net/consor/cgi-bin/index.php
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Other interesting databases:
- GeneCards http://www.genecards.org/
- STRING - Known and Predicted Protein-Protein Interactions http://string-db.org/
- Gene Ontology http://www.geneontology.org/
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References:
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Armando Reyes-Palomares, Rocio Rodríguez-López, Juan Antonio Ranea, Francisca Sánchez-Jiménez, Miguel Ángel Medina. Global analysis of the human pathophenotypic similarity gene network merges disease module components. PLoS One. 2013;8(2):e56653. doi:10.1371/journal.pone.0056653. Epub 2013 Feb 21
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Kwang-Il Goh, Michael E. Cusick, David Valle , Barton Childs, Marc Vidal and Albert-László Barabási The human disease network doi: 10.1073/pnas.0701361104 PNAS May 22, 2007 vol. 104 no. 21 8685-8690
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Hiroaki Kitano Systems Biology: A Brief Overview Science 295, 1662 (2002); DOI: 10.1126/science.1069492
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Interesting talk of Albert-László Barabási in TEDMED 2012.