Comprehensive bioinformatic reports and analyses as a service

Leverage Unicle’s expertise and platform as an immediate extension of your team to generate detailed bioinformatic reports and analyses that enhance your research and provide robust, data-driven insights—without the need for recruitment or development, ensuring high-quality outputs.

The challenge

Generating accurate and comprehensive bioinformatic reports is crucial for advancing research and publishing findings. The complexity of bioinformatics data analysis and the need for precise interpretation often pose significant challenges. Researchers, both academic and industry may struggle with integrating large datasets, applying appropriate computational methods and deriving meaningful conclusions swiftly.

Our solution

Unicle offers a suite of standard bioinformatic reports and analyses tailored to meet the needs of academic research labs, biotech firms and pharmaceutical companies. Our bioinformatics experts utilize our cutting-edge UniApp platform to analyze your data comprehensively. We deliver clear and detailed reports that include interpretation-ready analysis, detailed methodological explanations and higly customizable figures. Whether you need support with proteomics, transcriptomics, single-cell RNA-Seq, spatial RNA-Seq data analysis, or metabolomics, Unicle provides the expertise to elevate the quality and impact of your research.

Our service is designed for speed and efficiency, allowing you to focus on what matters most—interpretation, target validation, and advancing your research. With Unicle, you can rely on quick turnaround times without compromising the depth and accuracy of the analysis.

Real-world example

Our service is designed for speed and efficiency, allowing you to focus on what matters most—interpretation,

Typical bioinformatic analyses

Our bioinformatic reports encompass a wide range of analyses, including but not limited to:

• • Transcriptomic analysis: RNA-Seq data processing, differential expression analysis and pathway enrichment.
  • Single-cell RNA-seq analysis: Cell clustering, differential expression analysis and lineage tracing.
  • Spatial RNA-seq analysis: Spatial mapping of gene expression, tissue architecture analysis and spatial differential expression.
  • Proteomic analysis: Protein identification, quantification and functional annotation.
  • Metabolomic analysis: Metabolite identification, quantification, pathway analysis and metabolic network reconstruction.
  • Meta-analysis: Combining data from multiple studies to identify patterns, trends and overall effects.
  • Data integration: Combining multi-omics data for holistic insights and systems biology approaches.