Biology Data Analysis




1. Service Overview

With the rapid advancement of high-throughput sequencing (HTS), mass spectrometry, and single-cell technologies, life science research is accumulating vast amounts of biological data at an unprecedented pace. Faced with this data deluge, extracting biologically meaningful insights from complex datasets has become a core challenge for basic research, clinical applications, and biopharmaceutical companies.

We are committed to providing end-to-end, customized bioinformatics data analysis services. Leveraging our strong algorithm development capabilities, standardized workflows, and extensive project experience, we help clients rapidly achieve data interpretation, functional annotation, signal detection, mechanism exploration, and atlas visualizationā€”empowering scientific innovation and industrial translation.

Our analysis services cover every stage from raw data processing, quality control, alignment, and quantification to downstream differential analysis, functional enrichment, pathway analysis, network construction, and machine learning modeling. We broadly support transcriptomics, genomics, epigenomics, single-cell omics, metabolomics, proteomics, microbiome, and other multi-omics data.

2. Service Features

  • One-Stop End-to-End Solution
    We offer comprehensive services from experimental design consultation through final illustrated reports, including data preprocessing, normalization, statistical analysis, biological interpretation, and visualizationā€”eliminating time and resource waste from coordinating multiple parties and ensuring continuity and logical consistency of analysis results.
  • Multi-Omics Integration Capability
    We expertly handle multi-omics data, supporting integrated analyses such as transcriptomeā€“epigenome linkage, genomeā€“proteome intersections, and microbiomeā€“metabolome combinations. Through modeling and visualization, we help clients understand the multi-dimensional regulatory mechanisms of biological processes at a system level.
  • Highly Customized Services
    We tailor analysis plans flexibly to each clientā€™s research objectives, data types, and project timelines. Whether for publishing in SCI journals, grant applications, clinical decision support, or new drug and target discovery, we deliver professionally matched analysis designs and reports.
  • Strict Quality Control
    Throughout the analysis workflow, we employ industry-leading algorithms and authoritative databases, complemented by our in-house QC tools, to perform traceable quality assessments at every stepā€”ensuring scientific rigor, reproducibility, and reliability of results.
  • Visualization and Interpretation Support
    All analysis results are accompanied by high-quality visualizations and clear explanatory notes. We provide richly illustrated professional reports suitable for publication and technical filings, and offer online debriefing sessions on demand to help clients efficiently understand the dataā€™s value.

3. Core Service Modules

1. Transcriptome Data Analysis (RNA-seq)

  • Raw data QC and filtering (FastQC, Trimmomatic)
  • Alignment and quantification (STAR, HISAT2, Salmon)
  • Differential expression analysis (DESeq2, edgeR)
  • Functional enrichment analysis (GO, KEGG, Reactome)
  • Proteinā€“protein interaction network construction (STRING, Cytoscape)
  • Alternative splicing analysis, lncRNA/microRNA mining
  • Visualization and report output (heatmaps, volcano plots, enrichment plots, etc.)

2. Single-Cell Data Analysis (scRNA-seq)

  • Data QC and normalization (Seurat, Scanpy)
  • Highly variable gene identification and dimensionality reduction/clustering (PCA, UMAP, t-SNE)
  • Cell subpopulation identification and annotation
  • Trajectory and pseudotime analysis (Monocle, Slingshot)
  • Cellā€“cell communication analysis (CellChat, NicheNet)
  • Multi-sample integration and batch effect correction

3. Microbiome Data Analysis (16S/Metagenomics)

  • 16S rRNA/metagenomic sequencing QC and OTU clustering (QIIME2, DADA2)
  • Alpha and beta diversity analysis
  • Differential taxa identification (LEfSe, DESeq2)
  • Species annotation and phylogenetic analysis
  • Functional prediction (PICRUSt, Tax4Fun)
  • Correlation analysis with host phenotype/metabolism/immunity data

4. Epigenomics Data Analysis (ChIP-seq, ATAC-seq, BS-seq)

  • Peak calling (MACS2)
  • Differential site identification and functional annotation
  • Motif analysis and transcription factor prediction
  • Epigenetic modificationā€“gene expression correlation analysis
  • Comparative analysis and visualization of common regions across samples

5. Genome Variation Analysis (WGS/WES)

  • Small variant (SNP/Indel) calling and annotation (GATK, ANNOVAR)
  • Structural variation and copy number variation detection (SV, CNV)
  • Population genetics (PCA, FST, ADMIXTURE)
  • Haplotype reconstruction and selection signal detection
  • Clinical variant annotation and pathogenicity assessment (ClinVar, COSMIC)

6. Multi-Omics Integration Analysis

  • Co-expression network analysis (WGCNA)
  • Cross-omics correlation (MixOmics, MOFA)
  • Regulatory axis construction (e.g., epigenomeā€“transcriptomeā€“metabolome pathways)
  • Predictive modeling and feature selection (Random Forest, SVM, LASSO, etc.)
  • Integration with clinical/experimental phenotypes

4. Deliverables

  • Project analysis protocol (including workflow diagrams and key parameter descriptions)
  • Detailed bilingual (Chinese/English) illustrated report (PDF format for easy citation)
  • Complete analysis scripts and parameter documentation (for reproducibility)
  • High-quality original figures (SVG/PNG, etc.)
  • One-on-one online interpretation and Q&A support (as needed)

5. Service Workflow

  1. Requirement Discussion: Client submits project background and data types; we provide analysis recommendations and preliminary plan.
  2. Contract Signing: Define data confidentiality, delivery schedule, payment terms, and other cooperation details.
  3. Data Transfer: Client securely transfers data to initiate analysis.
  4. Mid-Project Feedback: Provide interim results preview and adjustment opportunities during execution.
  5. Result Delivery: Deliver final report and all result files, and assist client in understanding key findings.
  6. Ongoing Support: Provide Q&A, figure refinement, manuscript polishing, re-analysis, and other value-added services.

6. Target Clients & Use Cases

  • Universities & Research Institutes: Support basic research data analysis, grant applications, and accelerate publication.
  • Hospitals & Clinical Research Centers: Aid clinical data interpretation, disease subtyping, and prognostic model construction.
  • Biopharmaceutical Companies: Support target screening, biomarker discovery, and new drug development.
  • Government & Non-Profit Organizations: Build data platforms, conduct metagenomic surveillance, and develop disease early-warning models.
  • Independent Researchers: Offer low-barrier service plans to help kickstart and transition research.

7. Data Security & Confidentiality Commitment

We place the highest importance on client data privacy and security. All projects are covered by NDAs; data processing strictly follows access control, encrypted transfer, and regular backups, all conducted within secure local environments. No data will be forwarded or repurposed without client authorization.

8. Technical Support & Algorithmic Advantages

  • High-Performance Computing Infrastructure
    We maintain on-premises HPC clusters and GPU-accelerated servers to parallelize large-scale analyses, significantly reducing turnaround timesā€”especially for single-cell, ultra-deep whole-genome, and metagenomic datasets.
  • In-House C++ Analysis Modules
    We have re-engineered key bioinformatics algorithms (alignment, clustering, variant calling) in C++ to achieve higher execution efficiency and control compared to script-based tools. Our modular architecture enables rapid deployment and reuse, laying a solid foundation for large-scale data analysis.
  • Integrated Machine Learning Platforms
    To tackle complex nonlinear relationships and multidimensional features in omics data, we have developed an ensemble learning platform in Python/R supporting Random Forest, XGBoost, LASSO, SVM, neural networks, and explainable modelingā€”ideal for biomarker discovery, patient stratification, and prognostic prediction.
  • Continuously Updated Authoritative Databases
    We routinely synchronize with industry-standard reference databases such as Ensembl, RefSeq, KEGG, GO, Reactome, GTEx, dbSNP, and COSMIC to ensure our annotations and functional analyses remain cutting-edge and authoritative.

9. Service Assurance & After-Sales

  • Dedicated Project Management
    Each analysis project is staffed by one bioinformatics analyst and one project coordinator to ensure on-time, high-quality execution and prompt response to any client needs.
  • Standardized Visualization Deliverables
    We guarantee scientifically rigorous figures that meet SCI review standards, supplied in multiple formats (TIFF, EPS, PDF) for easy submission and presentation.
  • Free Revision & Interpretation
    Within 30 days of result delivery, we offer one free revision (without changing the analysis scope) and online report walkthroughs to help clients fully grasp the biological implications of the data.
  • Long-Term Archiving & Re-Analysis Support
    Client data and results are stored on our servers for six months at no extra cost. Should additional analysis or re-interpretation be required, we provide a rapid re-launch mechanism without repeated uploads or setup.

10. Enhancing Research Outcomes

  • Elevate Publication Quality
    Professional data analysis not only extracts core conclusions but also enhances manuscript impact through precise visualizations and logical rigor.
  • Accelerate Publication Timeline
    High-quality data processing and figure generation in one go reduces revision rates and review times, boosting acceptance rates; we have helped clients publish in Nature Communications, Cell Reports, Genome Biology, and more.
  • Support Grant Applications
    Familiar with the data needs of various funding bodies, we provide tailored figures, data summaries, and technical notes for NSFC, youth programs, key projects, and moreā€”enhancing grant success rates.

11. Future Outlook: AI & Large Models in Bioinformatics

  • Multimodal Data Inference Platform
    By integrating graphs, text, structural biology, and clinical metrics, our multimodal inference framework performs causal modeling beyond traditional correlation analysis.
  • Large-Model-Assisted Annotation
    We are testing the incorporation of large models (e.g., GPT-4.5) for gene annotation support, literature-based pathway reasoning, and summary generationā€”improving report efficiency and interpretability.
  • Structure Prediction & Drug Screening Integration
    Combining protein structure prediction tools (e.g., AlphaFold) with molecular docking algorithms, we offer integrated data analytics and AI modeling for protein-ligand interactions and drug designā€”advancing bio-computational and pharmaceutical R&D synergies.

12. Conclusion: Turning Data into Value, Enhancing Research Efficiency

In the era of rapid bioinformatics advancement, we believe data itself is not the problemā€”interpretation is key. Our professional data analysis services allow researchers, clinicians, and developers to focus on scientific questions rather than technical minutiae.

We aspire to be your long-term, trusted partner in bioinformatics analysisā€”resolving individual tasks and journeying further together, seeing deeper insights.

We believe exciting discoveries lie behind every dataset. Letā€™s join hands to transform data into knowledge and continually push the boundaries of life science.

13. Contact Us

For more information, please reach out via:

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