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NGS Data Analysis
End-to-end workflows for high-throughput sequencing projects, adapted to your platform, study design, and research question.
- RNA-seq, small RNA-seq, DNA-seq
- WGS, WES, targeted panels
- ChIP-seq, ATAC-seq, bisulfite-seq
Advanced bioinformatics since 2017
NGS analysis, clinical genomics & AI-powered bioinformatics.
SciBerg helps academic groups, biotech companies, clinical collaborators, and industrial partners transform complex sequencing data into reliable biological insight — from raw FASTQ files to publication-ready figures, interpretable reports, and custom AI-enabled workflows.
2017
Established in Heidelberg
NGS + AI
Modern data-driven workflows
PhD-level
Scientific bioinformatics expertise
Bioinformatics services
From sequencing data to biological and translational insight.
We combine validated NGS pipelines, custom computational analysis, and expert biological interpretation for research, clinical, biotech, and industrial use cases.
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Clinical Bioinformatics
Analysis and interpretation support for translational genomics, tumor sequencing, precision medicine, and liquid biopsy projects.
- Variant calling and annotation
- Tumor biopsy and liquid biopsy data
- Clinically oriented reporting support
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AI Integration
AI-enabled bioinformatics solutions for research and industrial partners who need scalable, intelligent, and reproducible analysis.
- AI-assisted pathway interpretation
- Custom LLM-powered research assistants
- Automated reporting and knowledge extraction
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Single-cell & Multi-omics
Specialized analysis for complex single-cell and multi-layer datasets where standard pipelines are not enough.
- Single-cell RNA-seq analysis
- Cell type annotation and clustering
- Integrated omics interpretation
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Custom Pipelines
Reproducible computational workflows, scripts, dashboards, and cloud-ready pipelines built around your scientific and operational needs.
- Workflow automation
- Containerized analysis environments
- Custom dashboards and reports
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Publication Support
Clear figures, tables, methods descriptions, and statistical summaries for manuscripts, grant applications, and partner reports.
- Publication-ready visualizations
- Methods text and reproducible code
- Reviewer-response analysis support
AI for bioinformatics
AI integration for research and industrial partners.
SciBerg supports the responsible integration of artificial intelligence into bioinformatics workflows — combining machine learning, large language models, automated reporting, and human scientific review.
AI-assisted interpretation
Connect differential expression, variants, pathways, literature, and biological context into concise, reviewable insights.
Industrial workflow automation
Build reproducible pipelines that reduce manual work and accelerate repeated sequencing, screening, or biomarker discovery projects.
Private knowledge systems
Create internal AI assistants that search project documents, protocols, reports, publications, and curated databases.
Human-in-the-loop quality control
AI output is treated as a support layer, with expert scientific validation before results are delivered.
Project workflow
A clear path from raw data to decision-ready results.
Whether you are preparing a manuscript, validating a biomarker, or building an internal analysis platform, we keep the process transparent and reproducible.
Project review
We assess your biological question, sequencing type, sample number, organism, platform, and desired deliverables.
Analysis plan
You receive a practical workflow proposal with expected outputs, reporting format, and project milestones.
Data processing
Raw data are processed with validated tools, quality controls, reproducible scripts, and documented parameters.
Interpretation
Results are connected to pathways, biological mechanisms, clinical context, or industrial project objectives.
Delivery
You receive publication-ready figures, tables, reports, methods text, and optional AI-enabled automation components.
Established in 2017 by scientists working at the prestigious German Cancer Research Center in Heidelberg.
SciBerg was founded by scientists with deep expertise in molecular biology, sequencing technologies, cancer research, and computational data analysis. This scientific background shapes how we work: rigorous, transparent, reproducible, and focused on biologically meaningful results.
Based in the Heidelberg life-science ecosystem, SciBerg serves academic laboratories, translational research teams, biotech companies, clinical collaborators, and industrial partners seeking expert support for complex bioinformatics projects.
Heidelberg
Located in one of Europe’s leading biomedical research environments.
DKFZ roots
Founded by scientists working at the prestigious German Cancer Research Center.
Research-grade
Analysis designed for manuscripts, grants, collaborations, and product development.
Custom-built
Flexible bioinformatics, AI, and reporting solutions tailored to each project.
Start a project
Tell us about your sequencing or AI-bioinformatics challenge.
Send a short project description and we will help define the analysis strategy, deliverables, and next steps.
Ideal for: academic groups, biotech companies, clinical collaborators, CROs, and industrial R&D teams
Typical inputs: FASTQ, BAM, VCF, count matrices, metadata tables, reports, or project documents
Typical outputs: QC reports, statistical analysis, figures, scripts, interpretation, and AI-enabled workflows