Biostatistics/Bioinformatics
The Bioinformatics / Biostatistics Unit collaborates with the IRB Barcelona’s community in the design and analysis of their experiments, either in vivo, in vitro or in silico. The unit is committed to providing a competitive advantage by developing tailored solutions and conducting methodological research. To do so, we engage in bioinformatics and statistical consulting from experimental design to publication, resulting in close collaborations with experimentalists in every stage of the way. We have an outstanding record of publications in high impact journals and offer a unique environment for practicing the most exciting science.
Our main objective is to help researchers exploit to the maximum the data generated in each experiment, ensuring reproducibility, statistical robustness and interpretability.
For more information contact the manager of the Biostatistics/Bioinformatics Unit at camille.stephan@irbbarcelona.org.
We analyse all types of data, regardless of the technology or protocol used to generate them. You can find a list of the standard analyses that we offer here (link to the list of prices). If you cannot find what you are looking for or have any questions please contact us.
- Microarrays: Quality control, Differential expression, Enrichment analysis of GO and KEGG, GSEA GO and KEGG, Signature discovery
- RNASeq: Quality control, Differential expression, Enrichment analysis of GO and KEGG, Signature discovery, Isoform switching, SNP calling
- ChipSeq: Processing, Quality control, Peak definition + annotation + visualization, Differential Binding + Integrative analysis
- Whole Genome Sequencing: Processing, Quality control, SNP calling, Copy number alteration calling
- Whole Exome Sequencing: Processing, Quality control, SNP calling, Copy number alteration calling
- Proteomics: Processing, Quality control, Differential expression, Enrichment analysis of GO and KEGG
- Public database mining and analysis: Selection, Curation of clinical data, Processing of expression data, Association of expression and clinical data, Integration of copy number/genomic data
- TCGA analysis: Exploratory analysis in all cancer types: association between expression and clinical variables, Detailed analysis with curated clinical and technical variables: association with expression, Data integration: copy number, expression, mutations, etc
- Microbiome: Quality control + OTU estimation + differential abundance, Phylogenetic analysis
- Binding prediction: Prediction of binding to RNA/DNA by proteins/genes
- Single Cell Sequencing: Processing, Quality control, Differential expression, Clustering, Trajectories, Enrichment analysis of GO and KEGG
- Consulting: Statistical consulting, Data analysis, Custom services
- Experimental design
- Request submission: e-mail to biostats@irbbarcelona.org or camille.stephan@irbbarcelona.org
- Review & approval: CF staff reviews the request and, if needed, schedules a consultation with the researcher. Once analyses are clear, a quote is sent to the user/PI for approval.
- Raw data is received by CF: initial processing and QC is performed and feedback is given to the user.
- Data Analysis: approved analyses are performed
- Results Delivery: results are delivered to the user as a report containing processed data, results and interpretation
- Follow-up: optional meeting to explain results or assist with interpretation.
SCENTINEL is a collaborative research initiative funded under the European Union's Horizon Europe program, aimed at advancing the capabilities of the Foundation of Research and Technology-Hellas (FORTH) in Greece through the development of genomics and bioinformatics infrastructure using invertebrate tumour models relevant to human diseases. Its goals include enhancing single-cell technology expertise, fostering EU-wide scientific collaborations, and elevating FORTH's global research stature.
