UEB - Biostatistics
GINYS-VHIR-010
The Statistics and Bioinformatics Unit (UEB) was created in 2008 with the aim of promoting the use and development of modern statistical and bioinformatics resources on the research carried out in its environment.
Currently, the Statistics and Bioinformatics Unit includes the former Biomedical Research Methodology Support Unit (USMIB) and, within the Scientific and Technical Support Area of the Vall d'Hebron Research Institute, has the mission to offer advice, services and training for clinical and biomedical research.
The main objectives of the UEB are:
- Provide statistical, methodological and bioinformatics support to clinical and biomedical research, mainly in our center but also in the rest of the community.
- Contribute to the training in statistics and bioinformatics for clinical and biomedical research, through the realization of own courses and the participation in the formal training of the area of the VHIR.
- Carry out innovation and development activities in the field of statistics and bioinformatics, especially in everything that may lead to an improvement in the procedures and services provided by the Unit.
Services
- Statistical and methodological advice in clinical research and high performance data
- Advice on the development of the research project protocol
- Design studio
- Calculation of the sample size
- Variable definition
- Protocols and data collection forms
- Data format and management for high performance data studies
- Data analysis of clinical research studies
- Execution and analysis of data
- Database design
- Validation of measurement procedures
- Statistical analysis design
- Basic analysis of univariate / bivariate descriptive data
- Correlation analysis and statistical modeling
- High performance data analysis
- Microarray data analysis
- RTqPCR data analysis (microfluidic cards).
- Analysis of exome variants
- Metagenomic studies / metabarcodification
- RNA-seq data analysis
- Other NGS studies
– Analysis of methylation data
– “De novo” sequencing.
- Advanced data analysis
- Integrative analysis of omic data
- Selection and validation of biomarkers
- Communication of scientific results
- Generation of tables and graphs
- Writing analysis methods
- Interpretation of results
- Statistical review of publications or presentations
- Respond to reviewer comments
- Development and maintenance of bioinformatics applications
- Specific local or online databases
- Tailor-made applications and user interfaces
- Installation and maintenance of bioinformatics applications
- Resource reservation (software and hardware) for “big data” analysis.
- General or specific training activities
- Courses on general (statistics, bioinformatics) or specific topics (gene expression analysis database, survival analysis)
- Participation in formal training programs in the VHIR or VH environment
Equipment
The UEB has the appropriate hardware and software to carry out its tasks:
HP workstations with two / four processors (quad * core) and 8/16 GiB of RAM running on GNU / Linux
High capacity server and cluster for processes that require intensive computing
Main node with 64 GiB of RAM
Several secondary nodes for parallel computing
Web server to make accessible the results of studies and analysis tools developed by the UEB
Statistical and bioinformatics tools:
Statistical software: R, Stata, SAS, PASS
Data analysis tools:
free / open source (Bioconductor, GenePattern, Qiime, DAVID …)
or proprietary software (Ingenuity Pathways, CLC Genomics Workbench)
Development tools: MySQL, PHP, Perl, Python, Java
Staff
Publications
Microarray expression analysis in idiopathic and LRRK2-associated Parkinson's disease
Neurobiol Dis. 2012 Jan;45(1):462-8.
Neurobiol Dis. 2012 Jan;45(1):462-8.
Brain transcriptomic profiling in idiopathic and LRRK2-associated Parkinson's disease
Parkinson's disease. Brain Res. 2012 May 24
Parkinson's disease. Brain Res. 2012 May 24
Transcriptomics: mRNA and alternative splicing
J Neuroimmunol. 2012 May 22
J Neuroimmunol. 2012 May 22
Batch effects correction improves the sensitivity of significance tests in spectral counting-based comparative discovery proteomics
J Proteomics. 2012 May 12
J Proteomics. 2012 May 12
The Jejunum of Diarrhea-Predominant Irritable Bowel Syndrome Shows Molecular Alterations in the Tight Junction Signaling Pathway That Are Associated With Mucosal Pathobiology and Clinical Manifestations
Am J Gastroenterol. 2012 Mar 13. doi: 10.1038/ajg.2011.472
Am J Gastroenterol. 2012 Mar 13. doi: 10.1038/ajg.2011.472
