Bioinformatic
Analysis

Advanced data analysis to transform complex biological quantities
into interpretable scientific results.

The bioinformatics pipeline enables processing and interpreting large quantities of biological data,
through advanced statistical and computational analysis,
enabling understanding of the molecular mechanisms that regulate biological systems.

From data processing
to biological knowledge

Bioinformatics is the process that enables processing and interpreting large quantities of biological data to extract meaningful information.

It is not simply a matter of data processing: it is the discipline that sits at the intersection of biological meaning and computational analysis of experimental data.

Through advanced statistical and computational tools it is possible to understand: molecular mechanisms, biological functions and gene expression changes, interpreted and ready for publication.

The bioinformatics analysis at Probiomics
transforms complex data into biological knowledge and molecularly interpretable results.

What bioinformatic analysis enables

The bioinformatics analysis at Probiomics transforms complex data into biological knowledge and molecularly interpretable results.

Bioinformatics in the Probiomics multi-omics workflow

In the Probiomics operating model, bioinformatic analysis represents the step that connects experimental data production to the biological interpretation of results.

Through computational pipelines and advanced statistical analyses, biological datasets are transformed into structured, interpretable scientific results ready for publication.

data
production

01

bioinformatic
analysis

02

biological interpretation

03

End-to-end
bioinformatic analysis

From biological raw data to interpretation of results.

The Probiomics bioinformatics team offers a complete analysis service, applied to a dataset comprising quantification data from other laboratories and platforms.

Thanks to validated computational pipelines and a multidisciplinary approach, the team handles the entire workflow from raw data to results.

This service includes:

  • analysis of proprietary Probiomics datasets
  • analysis of data produced by other laboratories and platforms
  • validated bioinformatics pipelines for diverse omics technologies
  • integration of multi-omics data

Outputs provided:

Data analysis workflow

The bioinformatics workflow covers diverse methodologies, designed to ensure data quality, statistical robustness and biological interpretability.

Raw Data Processing
& Quality Control (QC)

Independently from the data origin platform, raw data goes through rigorous quality control, filtering, correction of batch effects and normalization.

01

Exploratory Data Analysis (EDA)

Using advanced clustering techniques to reduce the dimensionality and increase knowledge of the data for a better understanding of the comparison between samples and the patterns to be studied.

Techniques used:
  • PCA
  • t-SNE
  • UMAP
  • MOFA
02

Statistical Analysis

Identification of differences or statistically significant associations between experimental conditions through rigorous statistical analysis.

03

Functional Analysis & Pathway

We explore the biological mechanisms in which the following are involved:
  • genes
  • transcripts
  • proteins
  • epigenetic regions

through enrichment analysis and interpretation of biological pathways.

04

Multi-omics Integration

Validated bioinformatics pipelines integrate data from diverse platforms for a comprehensive understanding of the biological system as a whole.

This approach enables identifying gene regulatory networks and molecular interactions that would escape traditional mono-omics approaches.

05

Machine Learning & Predictive Models

Using advanced machine learning algorithms to extract predictive value from biological data down to the dimensional level.

Supporting the generation of new hypotheses and decisions based on data.

These models enable:
  • identifying samples
  • identifying biomarkers
  • identifying complex molecular signatures
06

Bioinformatic analysis and multi-omics integration

Bioinformatic analysis represents the central element in the Probiomics multi-omics approach.

Through integrated pipelines, it is possible to combine data from diverse biological platforms to obtain a unified vision of the biological process.

Analyses can be applied to data from:

Analytical outputs and results

The results of bioinformatic analyses are provided in the form of structured and easily interpretable reports.

Reports include:

Data visualization examples

Frequently asked questions about the Bioinformatic Analysis service

Answers to the most common questions about samples, analyses and results.

What is the turnaround time for the service?

Results are typically delivered within 2–4 weeks for standard analyses.
For more complex bioinformatic analyses, please allow up to 10 working days.

Yes. Probiomics can process and integrate datasets generated by other laboratories or technological platforms, applying validated bioinformatics pipelines adapted to the type of data provided.

Results are provided via:

  • scientific reports in PDF format
  • high-resolution figures (PDF, TIFF, PNG)
  • results tables (Excel or CSV)
  • tabular datasets used for analyses

For sequencing services, FASTQ or BAM files and other raw data associated with the study may also be provided.

Results are accessible through the Probiomics website reserved area.

For large datasets, raw data sharing is organized on a case-by-case basis according to the study’s needs.

The Probiomics team offers:

  • personalized scientific consultation
  • support in analysis design
  • assistance in biological interpretation of results

This support enables maximizing the value of biological datasets and facilitating the preparation of publishable scientific results.

Yes. Probiomics bioinformatics pipelines enable the integration of datasets from diverse omics platforms, allowing multi-omics analyses and a more complete understanding of biological systems.
Yes. Results are provided in the form of structured reports, tables and high-resolution graphical visualizations, accompanied by a description of the analytical workflows used, so as to facilitate the preparation of scientific publications.

let's talk about your project

Every scientific project has unique characteristics and specific objectives.

Our team supports the client in planning and analysis of complex data,
developing validated bioinformatics pipelines tailored to the scientific objectives of the project.

Let's talk about your project

Tell us briefly about your project or analytical need.
Our scientific team will evaluate your request and get back to you.

Name(Required)
Request Type
Briefly describe your project or request.

Let's talk about your project

Tell us briefly about your project or analytical need.
Our scientific team will evaluate your request and get back to you.

Name(Required)
Request Type
Briefly describe your project or request.