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DNA-seq, WGS, WES & targeted panels
Variant-oriented analysis for whole genomes, exomes, amplicons, and targeted sequencing panels.
- FASTQ / BAM quality control
- Alignment and mapping statistics
- Variant calling, filtering, and annotation
NGS Data Analysis
Custom bioinformatics for next-generation sequencing projects.
SciBerg transforms raw NGS data into reproducible, publication-ready results. We support RNA-seq, DNA-seq, WGS, WES, targeted sequencing, single-cell RNA-seq, small RNA-seq, ChIP-seq, ATAC-seq, bisulfite sequencing, metagenomics, and custom omics workflows.
Supported sequencing types
Analysis workflows adapted to your study design, organism, platform, and objective.
Computational analyses can be fully customized for data generated on Illumina, BGI/MGI, Ion Torrent, and related sequencing platforms.
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RNA-seq & transcriptomics
Expression-oriented workflows for whole-transcriptome, mRNA-seq, small RNA-seq, and single-cell RNA-seq data.
- Trimming, alignment, and quantification
- Raw counts and expression matrices
- Differential expression and visualization
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ChIP-seq, ATAC-seq & regulatory genomics
Analysis of histone marks, transcription-factor-bound DNA, chromatin accessibility, and regulatory regions.
- Peak-oriented workflows
- Genome browser-ready outputs
- Annotation and comparative summaries
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Bisulfite sequencing
Support for whole-genome bisulfite sequencing and reduced-representation bisulfite sequencing projects.
- WGBS and RRBS workflows
- Methylation-level summaries
- Differential methylation support
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Metagenomics
Custom microbial and environmental sequencing analysis for taxonomic, functional, or comparative study designs.
- Read preprocessing and classification
- Taxonomic abundance tables
- Comparative community analysis
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AI-assisted NGS interpretation
AI-enabled analysis support for research groups and industrial partners who need faster reporting and knowledge extraction.
- AI-assisted pathway interpretation
- Automated report generation
- Human-reviewed biological summaries
Analysis workflow
A transparent path from raw data to reproducible results.
Every project is adapted to the data type, biological question, species, sequencing depth, metadata, and expected deliverables.
Project review
We evaluate your sequencing type, sample number, organism, study design, metadata, and biological question.
Data intake
Raw data can be provided as BCL, FASTQ, BAM, VCF, count tables, or downloadable cloud repository links.
Primary processing
Reads are quality-checked, trimmed when needed, aligned or classified, and summarized with mapping statistics.
Downstream analysis
We generate count tables, VCF files, expression results, annotations, statistical comparisons, and visualizations.
Delivery
You receive QC reports, tables, figures, scripts, methods support, and optional AI-assisted interpretation.
Standard packages
Two common starting points for raw sequencing data.
Standard packages are suitable for typical RNA-seq and DNA-seq projects. More complex projects can be quoted as custom bioinformatics work.
FASTQ-to-Counts
Processing of raw FASTQ files from standard RNA-seq experiments into tables with raw read counts and quality-control deliverables.
- FASTQ quality-control reports
- Adapter trimming and read filtering if required
- Alignment or transcript quantification
- Raw count tables and mapping statistics
- Exact scripts used for data processing
- Optional downstream differential expression analysis
FASTQ-to-VCF
Processing of raw FASTQ files from standard DNA-seq experiments into VCF files and variant-oriented analysis outputs.
- FASTQ quality-control reports
- Read alignment and mapping statistics
- Variant calling and filtering
- VCF output tables
- Exact scripts used for data processing
- Optional variant annotation and statistical analysis
AI integration
AI-enabled bioinformatics for research and industrial partners.
In addition to conventional NGS analysis, SciBerg can integrate AI into bioinformatics workflows to accelerate interpretation, automate reporting, and make internal knowledge easier to search and reuse.
AI-assisted biological interpretation
Connect gene expression, variants, pathways, literature, and experimental metadata into concise, reviewable summaries.
Automated reporting
Generate standardized project reports, QC summaries, result narratives, and reusable templates for repeated analyses.
Private knowledge extraction
Build internal systems that search protocols, reports, publications, project notes, and curated databases.
Human-in-the-loop quality control
AI is used as a support layer, with scientific review before findings are delivered or used for decision-making.
Indicative pricing
Transparent starting points for standard projects.
Custom projects, software development, and contract research are quoted based on project complexity, scope, timeline, and deliverables.
FASTQ-to-Counts
Standard processing of raw RNA sequencing data.
€1.10 / million reads- Plus €11.00 commission per sample
- Downstream differential expression analysis: +€25.00 per sample
- Includes QC reports, mapping statistics, and scripts
FASTQ-to-VCF
Standard processing of raw DNA sequencing data.
€1.20 / million reads- Plus €15.00 commission per sample
- Variant annotation and statistical analysis: +€30.00 per sample
- Includes QC reports, mapping statistics, and scripts
Rates indicated above do not include VAT. Final pricing depends on data quality, project scope, organism, reference availability, metadata complexity, and requested downstream analysis.
Request a quote
Send a short project description and receive an initial consultation.
Please include the NGS type, number of samples, organism, approximate read count or data size, available metadata, and the results you need.
Typical inputs: BCL, FASTQ, BAM, VCF, count matrices, metadata tables, or cloud-download links
Typical outputs: QC reports, mapping statistics, count tables, VCF files, figures, scripts, and interpretation
Contact: info@sciberg.com · +49 171 190 8276