Biostatistics / Bioinformatics
GINYS-IRB-007
Dra. Camille Stephan-Otto Attolini
The mission of the Biostatistics / Bioinformatics Unit is to carry out collaborative research and offer consultation and quantitative research resources to all IRB Barcelona research groups.
We help scientists by offering consulting services both in the short and long term in the following areas:
- Experimental design: sample size, study design, statistical methodology planning
- Data analysis: clinical or biomedical databases, genomics data
- Help with statistical methodology in own or other people's research
- Software: help in the use of software, software development to meet the special needs of data analysis or study design
- Methodological research is carried out and resources are developed in all the areas mentioned.
Services
- Microarrays: quality control, differential expression, GO and KEGG enrichment analysis, GSEA GO and KEGG, signature discovery
- RNASeq: quality control, differential expression, GO and KEGG enrichment analysis, signature discovery, isoform change, SNP call
- ChipSeq: processing, quality control, maximum definition + annotation + visualization, differential union + integrative analysis
- Genome-wide sequencing: processing, quality control, SNP calling, copy number alteration calling
- Whole exome sequencing: processing, quality control, SNP call, copy number alteration call
- Proteomics: processing, quality control, differential expression, GO and KEGG enrichment analysis
- Mining and analysis of public databases: selection, curation of clinical data, expression data processing, association of expression and clinical data, integration of number of copies / genomics
- TCGA analysis: exploratory analysis in all types of cancer: association between expression and clinical variables, detailed analysis with clinical variables and cured techniques: association with expression, data integration: number of copies, expression, mutations, etc.
- Microbiome: Quality control + OTU estimation + differential abundance, Phylogenetic analysis
- Binding prediction: prediction of RNA / DNA binding by proteins / genes
- Unique cell sequencing: processing, quality control, differential expression, clustering, trajectories, GO and KEGG enrichment analysis
- Advice: Statistical advice, Data analysis, Personalized services
- Experimental design
Staff
Dra. Camille Stephan-Otto Attolini | camille.stephan@irbbarcelona.org
| 934 020 217 | ORCID
| PRC Page
Publications
A genome editing approach to study cancer stem cells in human tumors
Embo Molecular Medicine 9 (7 ) 869 - 879 (2017)
Embo Molecular Medicine 9 (7 ) 869 - 879 (2017)
Mex3a Marks a Slowly Dividing Subpopulation of Lgr5+ Intestinal Stem Cells
Cell Stem Cell 20 (6 ) 801 - 816.e7 (2017)
Cell Stem Cell 20 (6 ) 801 - 816.e7 (2017)
Targeting metastasis-initiating cells through the fatty acid receptor CD36.
Nature 541 (7635 ) 41-45 - + (2017)
Nature 541 (7635 ) 41-45 - + (2017)
Designing alternative splicing RNA-seq studies. Beyond generic guidelines
Bioinformatics 31 (22 ) 3631 - 3637 (2015)
Bioinformatics 31 (22 ) 3631 - 3637 (2015)
Inosine modifications in human tRNAs are incorporated at the precursor tRNA level
Nucleic Acids Research 43 (10 ) 5145 - 5157 (2015)
Nucleic Acids Research 43 (10 ) 5145 - 5157 (2015)