Biostatistics / Bioinformatics
GINYS-IRB-007
Dra. Camille Stephan-Otto Attolini
CORE FACILITY MANAGER
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
The efficacy of chemotherapy is limited by intratumoral senescent cells expressing PD-L2.
Nature Cancer, 5(3), 448–462. (2024a)
Nature Cancer, 5(3), 448–462. (2024a)
Roastgsa: a comparison of rotation-based scores for gene set enrichment analysis.
BMC Bioinformatics, 24(1), 408. (2023a)
BMC Bioinformatics, 24(1), 408. (2023a)
Vitamin B12 is a limiting factor for induced cellular plasticity and tissue repair.
Nature Metabolism, 5(11), 1911–1930 (2023b)
Nature Metabolism, 5(11), 1911–1930 (2023b)
Cellular Senescence Is Immunogenic and Promotes Antitumor Immunity.
Cancer Discovery, 13(2), 410–431 (2023a)
Cancer Discovery, 13(2), 410–431 (2023a)
MAF amplification licenses ERα through epigenetic remodelling to drive breast cancer metastasis.
Nature Cell Biology, 25(12), 1833–1847 (2023a)
Nature Cell Biology, 25(12), 1833–1847 (2023a)
Mex3a marks drug-tolerant persister colorectal cancer cells that mediate relapse after chemotherapy.
Nature Cancer, 3(9), 1052–1070 (2022a)
Nature Cancer, 3(9), 1052–1070 (2022a)
Lysine 27 dimethylation of Drosophila linker histone dH1 contributes to heterochromatin organization independently of H3K9 methylation.
Nucleic Acids Research, 50(16), 9212–9225 (2022a)
Nucleic Acids Research, 50(16), 9212–9225 (2022a)
Metastatic recurrence in colorectal cancer arises from residual EMP1+ cells.
Nature, 611(7936), 603–613 (2022a)
Nature, 611(7936), 603–613 (2022a)
Functional patient-derived organoid screenings identify MCLA-158 as a therapeutic EGFR × LGR5 bispecific antibody with efficacy in epithelial tumors.
Nature Cancer, 3(4), 418–436 (2022a)
Nature Cancer, 3(4), 418–436 (2022a)