BIOINFORMATICS

Bioinformatics

A dedicated bioinformatics service for processing and interpreting proteomics, metabolomics, lipidomics and fluxomics data. We build an analysis plan around the data structure and research objective.

Discuss your project ↗

Concept illustration

Data preprocessing

Steps such as peak detection, peak alignment and quantitative feature assessment are planned for the platform and data format.

Differential & statistical analysis

Evaluate differences between sample groups using methods appropriate to the experimental design. Data quality and limitations of interpretation are considered together.

Functional annotation & networks

Place findings in a biological context through functional annotation, pathway analysis and protein–protein interaction networks.

Scientific consulting

Support with experimental planning, data processing and reporting for mass spectrometry and bioinformatics projects. Existing datasets may also be submitted for assessment.

RESEARCH FOCUS

Let’s define the focus of your study.

ProteomicsMetabolomicsLipidomicsFluxomics

PLAN YOUR STUDY

What will you provide and receive?

Research question

You can also bring data generated in your own laboratory or at another facility.

Data to provide

Share the data format, sample-to-group mapping, experimental design and research question.

Deliverables

Processed tables, statistical results, annotated plots and an analysis-method summary as scoped.

Defining the scope

Raw-data processing, statistics and pathway analysis can be scoped separately. Interpretation is framed by data quality and experimental design.

Discuss my study ↗

EXAMPLE ANALYSIS OUTPUT

See shared patterns in your data.

A heatmap brings together relative changes in measured features across samples.

Possible outputs for your study

Data preprocessing · Statistical analysis · Pathway enrichment

See shared patterns in your data. Example chart created with synthetic data. — **Illustrative data — not a client result.** Synthetic values are converted to z-scores within each row. Colours show deviation from the row mean; absolute abundances cannot be compared across rows.

DATA → INSIGHT

You can also start with an existing dataset.

Parameter	Scope
Data source	Analytical platform and data file format.
Experimental design	Groups, sample count and biological/technical replicates.
Previous processing	Existing preprocessing and any quality-control information.
Research objective	Comparisons, pathways of interest and expected reporting scope.

HOW WE WORK

A process planned together.

01
Share your research
Research question, samples, study groups and replicates.
02
Define the scope
Sample preparation, analytical approach and reporting plan.
03
Review the results
Agreed analyses and scope of biological interpretation.

LET’S TALK SCIENCE

Let’s start with an email.

Share your research question, analysis or manufacturing requirements. Attach drawings and relevant files to your email.

DIRECT CONTACTbiomicscience@gmail.com

Write an email ↗

Üniversiteler Mah. 1596 Cad. Teknokent Kuluçka Merkez Binası No: 6 C, Unit 11, Çankaya / Ankara, Türkiye