Transforming Biological Data into Scientific Discovery

With Pubrica’s bioinformatics services, researchers gain accurate analyses, actionable insights, and publication-ready outputs trusted by leading journals.

Pubrica Bioinformatics Services

Transforming Complex Biological Data into Meaningful Insights

Pubrica provides end-to-end bioinformatics consulting services for genomics, proteomics, transcriptomics, metabolomics, and multi-omics research. Our team of PhD-qualified computational biologists, data scientists, and bioinformaticians specializes in next-generation sequencing (NGS) data analysis, omics data integration, and advanced computational biology techniques. We help researchers and healthcare professionals translate raw biological data into accurate, insightful, and publication-ready results.

15+ years of expertise delivering bioinformatics solutions for global medical and life sciences research.
1,200+ projects completed in genomic sequencing, protein structure prediction, transcriptomics analysis, and clinical omics studies.

A multidisciplinary team skilled in machine learning, big data bioinformatics, and advanced visualization (heatmaps, phylogenetic trees, gene expression profiles).
Proven track record of supporting high-impact publications and regulatory submissions through precise data analysis and customized pipelines.

Bioinformatics Services That We Undertake

Pubrica offers a comprehensive suite of bioinformatics services tailored to the life sciences, healthcare, and medical research sectors, supporting researchers in unraveling complex biological data and advancing scientific discoveries.

We provide specialized services across pre-clinical, translational, and clinical development, enabling researchers to transform raw data into meaningful insights, biomarker discovery, and publication-ready results.

Single-Cell Data Analysis

Our single-cell RNA sequencing (scRNA-seq) analysis services identify cell types, expression differences, and heterogeneity in biological samples. Using dimension reduction and clustering methods such as UMAP and t-SNE, we assess cellular responses to various conditions or treatments across multiple samples.

Genomic Data Analysis

We specialize in next-generation sequencing (NGS) data analysis, including whole-genome sequencing (WGS), whole-exome sequencing (WES), and targeted sequencing. Our expertise helps identify genetic variations, disease predispositions, and pharmacogenomic responses, driving advances in personalized medicine.

Proteomic Data Analysis

Our proteomics services cover protein identification, quantification, and post-translational modification (PTM) analysis. These insights are essential for understanding disease mechanisms and discovering novel therapeutic targets.

Transcriptomic Data Analysis

We analyze RNA sequencing (RNA-seq) data to evaluate gene expression under varying conditions, including differential gene expression, isoform detection, and non-coding RNA analysis. This provides a deeper understanding of gene regulation and functional pathways.

Genetic Variation & Variant Calling

We perform large-scale variant discovery using SNP arrays, WGS, and WES. Our pipelines process terabyte-scale sequencing data for variant calling, annotation, and interpretation, linking genetic variation to disease and clinical outcomes.

Metabolomics Data Analysis

Metabolomics offers a direct snapshot of biochemical processes within cells. Our bioinformatics services connect genetic, environmental, and microbiome influences to disease biomarkers and therapeutic responses through comprehensive metabolite profiling.

Microbiome & Metagenomics Analysis

We provide microbiome sequencing and metagenomics analysis (16S rRNA and shotgun sequencing) to profile microbial diversity and host-microbiota interactions. These insights are crucial in gut health, disease research, and nutrition studies.

Epigenomics Data Analysis

Our epigenetics bioinformatics services include DNA methylation profiling, histone modification analysis, and ChIP-seq data interpretation, providing insights into gene regulation, epigenetic markers, and disease associations.

Integrative Multi-Omics Analysis

We integrate genomics, transcriptomics, proteomics, metabolomics, and epigenomics datasets to uncover molecular mechanisms of disease, identify biomarkers, and support systems biology approaches.

Structural Bioinformatics

We support protein structure prediction, molecular docking, and simulation studies to explore structure–function relationships, protein-ligand interactions, and rational drug design.

Machine Learning & AI in Bioinformatics

Our experts apply machine learning and deep learning techniques for biomarker classification, predictive modeling, and pattern recognition in complex omics datasets. This empowers precision medicine and data-driven drug discovery.

Clinical & Translational Bioinformatics

We bridge omics research and clinical practice by providing bioinformatics for diagnostics, pharmacogenomics, and clinical decision support. These services accelerate the path from bench to bedside in personalized healthcare.

Bioinformatics Pipeline & Software Development

We develop customized pipelines, workflows, and cloud-based solutions for efficient and reproducible data processing, tailored to the needs of specific projects and institutions.

Data Visualization & Publication Support

We generate publication-ready visualizations such as heatmaps, volcano plots, PCA, phylogenetic trees, and pathway enrichment charts. Our outputs enhance the clarity and impact of scientific publications and presentations.

Who We Serve

Our bioinformatics services cater to academia, pharma, healthcare, agriculture, and startups, delivering tailored, data-driven solutions for research, innovation, and discovery.

Academic Researchers & Universities

Support for genomics, transcriptomics, proteomics, and metabolomics research.
Customized data analysis for theses, dissertations, and publications.

Pharmaceutical & Biotechnology Companies

AI-driven target discovery and biomarker identification.
Drug repurposing, clinical trial data analysis, and precision medicine support.

Healthcare & Clinical Research Organizations (CROs)

Patient stratification, genetic diagnostics, and biomarker validation.
Clinical genomics and personalized treatment insights.

Government & Nonprofit Research Institutes

Large-scale genomic projects, population genetics, and epidemiological studies.
Public health genomics, disease surveillance, and policy research support.

Startups & Life Science Innovators

End-to-end bioinformatics solutions for product development.
Scalable, cost-effective computational biology support to accelerate innovation and R&D.

Medical Professionals & Hospitals

Clinical sequencing data interpretation for diagnostics and treatment planning.
Support for precision medicine, patient care optimization, and genomic-informed therapies.

Agriculture & AgriTech Companies

Plant genomics, crop transcriptomics, and trait analysis to improve yield and disease resistance.
Soil and microbiome bioinformatics to enhance sustainable farming and agri-biotech innovation.

Food & Nutrition Companies (optional but strong for microbiome market)

Microbiome and metabolomics analysis for gut health, nutrition, and functional food research.
Bioinformatics support for probiotic development, nutrigenomics, and dietary studies.

Diagnostics & Medical Device Companies

Bioinformatics for assay development, biomarker validation, and companion diagnostics.
NGS-driven diagnostic pipelines supporting clinical testing and device innovation.

Accelerate Your Bioinformatics Journey with Pubrica

Receive tailored support in genomic, proteomic, and clinical data analysis, helping you achieve precision, reliability, and faster translation of discoveries into practice.

How Do Bioinformatics Services Work at Pubrica?

Our Step-by-Step Process

Pubrica’s comprehensive bioinformatics services provide end-to-end support for researchers and clinicians, ensuring data integrity, ethical compliance, and insights that meet the standards of high-impact medical and scientific journals.

Data Collection & Annotation

We begin with the systematic collection, cleaning, and annotation of genomic, transcriptomic, proteomic, and metabolomic datasets. This step ensures data is well-structured, FAIR-compliant, and ready for advanced analysis.

Custom Algorithm Development

Our experts design tailored bioinformatics algorithms and workflows, either adapting existing methods or developing new pipelines to address your specific research questions, including NGS analysis, variant calling, or multi-omics integration.

Rigorous Compliance & Quality Standards

We follow international scientific and ethical guidelines (e.g., Genomic Data Sharing Policy, FAIR principles) to ensure reliability, reproducibility, and compliance across all stages of analysis.

Advanced Data Analysis & Model Validation

Using cutting-edge computational biology techniques, our team performs robust analyses and validates models for accuracy, consistency, and replicability across multiple conditions.

Insight Generation & Visualization

We translate raw data into clear, actionable insights with publication-ready reports and visualizations—including heatmaps, volcano plots, phylogenetic trees, and gene expression profiles. These outputs support both scientific discovery and clinical applications.

Deliverables & Implementation Support

Clients receive a comprehensive package: processed datasets, methodology documentation, algorithm details, and final reports. We also support implementation into real-world research, diagnostics, or product development.

Post-Analysis Support & Continuous Updates

We guarantee ongoing scientific support, refining analyses as new data emerges and ensuring your findings remain accurate, relevant, and impactful.

Dedicated Project Coordination

Each project is managed by a dedicated coordinator, providing seamless communication, query resolution, and personalized client support.

Therapeutic Areas for Bioinformatic Analysis

Genomics offers different data analysis approaches for the discovery, characterization, and validation of genomic (RNA and DNA) and proteomic biomarkers for a variety of disease areas. Bioinformatics services can help with drug target identification and validation for oncology, GI and microbiome, cardiovascular and metabolic diseases, infections and vaccines, respiratory and dermatology research areas. Applications of bioinformatics services include human medicine, crop studies and nutrition, forensic analysis, and veterinary science.

Tools Used for Bioinformatics Service

Genomic Data Analysis Tools

BLAST – Sequence alignment and similarity search
Bowtie / BWA – Fast alignment for next-generation sequencing (NGS) data
SAMtools – Manipulation and processing of sequence alignment files
GATK (Genome Analysis Toolkit) – Variant discovery, SNP/indel calling, genotyping
IGV (Integrative Genomics Viewer) – High-performance genome visualization
UCSC Genome Browser / Ensembl – Genome annotation and browsing

Proteomic Analysis Tools

MaxQuant – Quantitative proteomics analysis from LC-MS data
Proteome Discoverer – Protein identification and quantification
OpenMS – Open-source platform for proteomics workflows
Mascot – Protein database search and identification
PeptideAtlas – Curated peptide identification repository
ProteinPilot – Comprehensive protein identification and quantification

Transcriptomic Analysis Tools

TopHat / HISAT2 – RNA-Seq read alignment
Cufflinks / StringTie – Transcript assembly and quantification
DESeq2 / edgeR – Differential gene expression analysis
Kallisto / Salmon – Ultra-fast transcript quantification
Seurat – Single-cell RNA-seq data analysis and clustering
Galaxy – User-friendly bioinformatics workflow platform

Metabolomics Tools

XCMS – LC/MS data processing and metabolite feature detection
MetaboAnalyst – Comprehensive metabolomics statistical analysis and visualization
MZmine – Mass spectrometry data analysis for metabolomics
GNPS – Natural product discovery and metabolite networking

Epigenomics Tools

Bismark – Bisulfite-treated DNA sequence alignment and methylation calling
MACS2 – Peak calling in ChIP-seq experiments
ChIPseeker – Annotation and visualization of ChIP-seq data

Integrative Omics & Systems Biology Tools

Cytoscape – Network biology and systems-level visualization
Pathway Studio / Ingenuity Pathway Analysis (IPA) – Pathway enrichment and biomarker discovery
Bioconductor (R) – Multi-omics statistical packages for integration and visualization

Our Compliance and Guideline Standards

At Pubrica, we ensure that all bioinformatics analyses and deliverables strictly adhere to globally recognized scientific, ethical, and data management standards.

FAIR Data Principles (Findable, Accessible, Interoperable, Reusable)

– Applied to all biological dataset handling and bioinformatics workflows for maximum transparency and reproducibility.

MIAME & MINSEQE Guidelines

For microarray and next-generation sequencing (NGS) data reporting, ensure compliance with community-driven standards for experimental reproducibility.

GATK Best Practices

Applied for genomic variant discovery and analysis, ensuring high accuracy and reliability in SNP/indel calling.

ICMJE & COPE Guidelines

Following the International Committee of Medical Journal Editors (ICMJE) and Committee on Publication Ethics (COPE) principles for authorship, research integrity, and ethical publication practices.

HIPAA & GDPR Standards

Compliance with data privacy and security frameworks for handling clinical and patient-related data in healthcare bioinformatics projects.

GCP & GLP Compliance

We follow Good Clinical Practice (GCP) and Good Laboratory Practice (GLP) standards, ensuring that our clinical and laboratory bioinformatics analyses meet the highest quality, safety, and regulatory benchmarks.

Regulatory Compliance (FDA, EMA, NIH, CRO Standards)

Supporting drug discovery, clinical trials, and translational research in alignment with FDA, EMA, NIH, and CRO regulatory requirements.

Bioinformatics Sample Works

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Download the full Report Now

Explore our bioinformatics sample work, carefully designed to meet journal-specific guidelines, computational precision (e.g., Transcriptomics, proteomics), and research timelines, ensuring impactful academic or clinical publication.

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Bioinformatics Service – Our Packages

We provide end-to-end bioinformatics solutions tailored to your research needs. Our packages are designed to ensure accuracy, compliance, and faster turnaround, helping you achieve publication-ready results.

Data quality check and preprocessing
Basic genomic/proteomic/transcriptomic analysis
Summary reports with data visualization

Extended statistical validation
Reference genome alignment
Customized figure preparation for publications

Comprehensive multi-omics integration
Differential expression and pathway analysis
Structural bioinformatics & molecular modeling
Detailed technical report with publication-ready figures

Machine learning-based predictive modeling
Clinical data integration
Journal-specific formatting support

End-to-end bioinformatics pipeline development
Multi-layered omics integration (genomics, transcriptomics, proteomics, metabolomics, epigenomics)
AI/ML-driven biomarker discovery
Comprehensive manuscript support with supplementary materials

Regulatory & compliance check (FDA, EMA standards)
Clinical trial dataset analysis
Customized dashboards for interactive data exploration

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Testimonials

Learn how Pubrica’s bioinformatics service has empowered researchers to transform complex biological data into publication-ready insights that drive scientific discovery and enhance academic and clinical visibility. Here is what our clients say:

Testimonial Carousel

"Pubrica’s bioinformatics experts delivered outstanding support for my whole-genome sequencing project. Their precision in genome assembly and annotation enabled me to publish in BMC Genomics without delays. Truly professional!"

— Dr. James Carter

Genomics Researcher, University of Cambridge, UK

"Thanks to Pubrica’s team, my RNA-Seq data was analyzed with remarkable accuracy. Their use of advanced tools like HISAT2 and DESeq2 ensured my study’s acceptance in Frontiers in Genetics. Highly recommended!"

— Dr. Priya Nair

Molecular Biologist, Indian Institute of Science, India

"Pubrica’s support in protein structure prediction and pathway analysis was invaluable. Their bioinformatics insights accelerated our drug target identification and contributed to our publication in Nature Communications."

— Dr. Michael Rodriguez

Research Scientist, Pfizer, USA

Frequently Asked Questions – Bioinformatics Services

1. What bioinformatics tools, pipelines, and databases do you use?

We use a mix of open-source tools (e.g., GATK, STAR, DESeq2, Cytoscape) and licensed platforms (e.g., Ingenuity Pathway Analysis, Partek). Each tool is carefully selected based on project objectives, dataset type, and peer-reviewed best practices, ensuring accuracy and reproducibility.

2. How do I know which bioinformatics package is right for my research?

Our experts provide a free consultation to assess your research goals, data type (genomics, transcriptomics, proteomics, metabolomics, etc.), and publication requirements. Based on this, we recommend the most suitable bioinformatics package aligned with your needs and budget.

3. How do you ensure compliance with international guidelines and journal standards?

All workflows follow globally recognized best practices such as MIAME, MINSEQE, CONSORT, GCP/GLP, and FAIR data principles. This ensures that your results meet the highest scientific, ethical, and journal submission standards.

4. Can you integrate bioinformatics results with experimental or clinical data?

Yes. We specialize in integrative multi-omics analysis, combining molecular datasets with experimental or clinical data. This provides translational insights that support precision medicine, biomarker discovery, and real-world clinical applications.

5. What is the typical turnaround time for bioinformatics projects?

Turnaround time depends on data size, complexity, and the chosen package. On average:

Small datasets: 1–2 weeks
Medium-scale projects: 3–4 weeks
Large or multi-omics analyses: 5–8 weeks (priority delivery available)

6. How do you ensure confidentiality and data security?

We follow strict data security protocols. All client data is stored in encrypted systems, processed under HIPAA/GDPR-compliant frameworks, and never shared with third parties. NDAs (Non-Disclosure Agreements) can be signed on request.

7. Do you provide post-project support?

Yes. Pubrica offers ongoing post-project support, including:

Updates as new data becomes available
Refinements to analyses based on reviewer feedback
Additional visualizations or reports for publication and presentations

This ensures your results remain relevant, accurate, and publication-ready even after project delivery.

Insights

Organize journal matching by different decision-making filters: