What we deliver

Bioinformatics services tailored to your discovery and development process

Genotope integrates and analyzes complex biological datasets using state-of-the-art analytical pipelines, including bespoke workflows developed for specific research needs.

Featured Capability

Single-cell & spatial multiomics analysis

Move beyond bulk sequencing. Genotope integrates and analyzes single-cell RNA-seq, ATAC-seq, and spatial transcriptomics datasets using state-of-the-art analytical pipelines and bespoke computational workflows tailored to specific research objectives. From raw FASTQ processing through advanced cellular characterization and trajectory analysis, we help extract meaningful biological insight from every cell.

  • scRNA-seq QC, normalization & clustering

  • ATAC-seq chromatin accessibility analysis

  • Trajectory & pseudotime analysis

  • Annotated Seurat/AnnData deliverables

  • Cell-type annotation against reference datasets

  • Spatial transcriptomics integration

  • Differential expression across conditions

  • Structured analytical reports

Training data architecture

AI/ML training data curation & integration

Building AI/ML models for biological applications requires structured, biologically meaningful training data — and that is rarely what comes out of the lab. Genotope cleans, harmonizes, annotates, and integrates multiomics and genomic datasets, transforming fragmented experimental and public data into structured, analysis-ready resources optimized for downstream AI/ML development, bioinformatics pipelines, and translational research.

  • Dataset cleaning, QC & harmonization

  • Public & proprietary dataset integration

  • Training/validation/test set structuring

  • Biological feature annotation

  • Ontology mapping & standardization

  • Legacy dataset rescue & reuse

Bespoke workflows for complex questions

Custom data analysis and pipelines

Standardized workflows are not always sufficient for complex biological questions. Genotope develops and adapts bespoke computational pipelines tailored to specific study objectives, data modalities, and organism models — while also leveraging proven public and commercial analytical frameworks where appropriate to maximize scientific rigor, efficiency, and reproducibility.

  • End-to-end pipeline design & implementation

  • Reproducible workflow documentation

  • R & Python-based analytical workflows

  • Multi-modal data integration

  • Cloud & HPC infrastructure support

  • Integration with established frameworks

Representative Experience

Engagements led by Genotope's founder

The following reflects work led by Genotope's founder and is representative of the expertise Genotope brings to client engagements.

Small Biopharma

Early Discovery

Computational Peptide Prioritization

A small biopharma company sought to rationally prioritize a library of peptide candidates ahead of costly in vitro and in vivo screening.

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Small Bioptech

Translational Research

Integrative epigenomic & transcriptomic analysis

A small biotech developing treatments in the neuromuscular space required integrated multi-omics analysis to identify novel gene targets of therapeutic interest.

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Large Biopharma

Clinical genomics

Clinical Genomics & Biomarker Analysis — Oncology

A global biopharma organization engaged the team to conduct integrated genomic analysis across multiple large-scale clinical trials in oncology.

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Small Biopharma

Single Cell

Single-Cell Transcriptomics & Immune Cell Profiling

A small biopharma organization required single-cell RNA-seq analysis to characterize immune cell populations and identify gene signatures across disease contexts.

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Get Started

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Whether you have a defined study or an early-stage analytical challenge, we'd like to hear about it.

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