Advanced Bioinformatics Solutions

Transform Biological Data into Publishable Discoveries

Collaborate with experienced bioinformatics scientists for RNA-seq, single-cell, genomics, transcriptomics, proteomics, and multi-omics analysis—from your raw sequencing data to publication-ready results.

Sample single-cell RNA-seq cluster plot An illustrative UMAP scatter plot showing five color-coded cell-population clusters with proportions, representative of the kind of output delivered in a single-cell RNA-seq analysis report. scrna_report · PRJ-2026-0417 UMAP 2 UMAP 1 34% 22% 25% 11% 8%
T cells B cells Monocytes NK DCs
5 populations · illustrative
For Researchers & Academics

Analysis for your next paper

  • Transparent pricing, starting at $149
  • Turnaround in as little as 3 business days
  • Direct access to a PhD-level analyst, not a ticket queue
  • Figures and methods text ready to paste into your manuscript
For Biotech & Pharma

Compliant analysis at delivery speed

  • NDA and data-handling terms in place before any data moves
  • Documented, reproducible pipelines with a full audit trail
  • Scoped, written SOWs — not an informal chat thread
  • A dedicated project lead for multi-phase programs
250+ Research Institutions Served
75+ PhD Researchers & Specialists
70+ Countries Served
300+ Journals Assisted

Trusted by researchers at institutions including:

Harvard University MIT Oxford Stanford IIT Delhi KAUST UCL London NUS Singapore Fudan University

Journals & databases our clients’ work appears in and draws on:

PubMed Nature Elsevier Springer Nature Wiley IEEE PLOS Frontiers MDPI Scopus Web of Science
Client Feedback

What researchers say about working with us

From PhD students defending their thesis to clinical teams submitting to high-impact journals — in their own words.

Academic · PhD graduate · Oncology

“They built my entire Seurat pipeline, annotated every cell cluster, and delivered figures that went straight into my thesis. My supervisor called it my strongest chapter.”

— Dr. S. P****l · PhD Graduate, Oncology & Cancer Biology, University of Manchester

Academic · PI · Immunogenomics

“Reviewer three demanded a full reanalysis with new normalisation and batch correction. InSilicoNext turned it around in five days, and the paper was accepted.”

— Prof. M. R****d · Principal Investigator, Immunogenomics Lab, King’s College London

Industry · Biotech · CSO

“We needed publication-grade genomics for our Series A but couldn’t justify a full-time hire. They delivered a multi-omics target report, under NDA, on time and on budget.”

— Dr. L. K****s · Chief Scientific Officer, PrecisionOmics Therapeutics, Budapest

Academic · Microbiology

“Our postdoc left mid-project and took the knowledge with them. They audited what existed, finished the metagenomics pipeline in three weeks, and wrote our methods section.”

— Dr. C. O*****r · Associate Professor, Microbiology & Infectious Disease, University of Lagos

Academic · PhD candidate · Genomics

“Two weeks before my viva I couldn’t explain my GWAS pipeline. Their 30-minute walkthrough covered every analytical decision, and I passed without corrections.”

— R. F*******z · PhD Candidate, Human Genetics & Population Genomics, University of Barcelona

Clinical · Genomic medicine

“We needed a partner who understood both the science and data governance. They signed our data agreement, processed our WES cohort with a full audit trail, and delivered a genuinely usable report.”

— Dr. A. N*****n · Clinical Research Lead, Genomic Medicine Unit, Singapore General Hospital

Services

Twelve analysis capabilities. One team.

Organized by what you need run, not by research trend. Every service follows the same rigor: documented methods, reproducible pipelines, reviewer-ready output.

Genomics

Genomics & Variant Analysis

WGS/WES, variant calling and annotation, clinical genomics, and long-read data analysis (ONT/PacBio).

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Transcriptomics

Transcriptomics

Bulk RNA-seq, single-cell RNA-seq, and spatial transcriptomics, from FASTQ to figure.

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Epigenomics

Epigenomics

ChIP-seq, ATAC-seq, and DNA methylation analysis mapped to regulatory function.

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Multi-Omics

Multi-Omics Integration

Genomic, transcriptomic, proteomic, and metabolomic data layered into one coherent model, including CITE-seq.

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Microbiome

Metagenomics & Microbiome

Community composition, diversity metrics, and functional profiling from shotgun or amplicon data.

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Proteomics

Proteomics & Structural Bioinformatics

Structure prediction (incl. AlphaFold), docking context, and phosphoproteomic signaling analysis.

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Biomarkers

Biomarker & Variant Interpretation

Candidate biomarker discovery and validation, including low-frequency liquid biopsy/ctDNA calling.

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Software

Custom Pipeline Development

Bespoke, versioned pipelines for recurring analysis needs — including RWE/EHR genomics workflows.

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Biostatistics

Biostatistics & Data Visualization

Statistical design, power analysis, and publication-grade figures that hold up under review.

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Network Biology

Network Biology & Pathway Analysis

PPI, gene-regulatory, and co-expression networks, module detection, and pathway topology.

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Publication

Manuscript & Publication Support

Methods sections, results narrative, and revision support aligned to your target journal.

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Consulting

Bioinformatics Consulting

Study design, pipeline audits, and second-opinion review before you commit budget or samples.

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Research Areas

Seven domains, genuine depth

We go deep in a focused set of therapeutic and scientific areas rather than spreading thin across everything.

Oncology & Oncogenomics

Tumor genomics, liquid biopsy, and immuno-oncology analysis across solid and liquid tumors.

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Immunology & Immuno-Oncology

Immune repertoire profiling, from TCR/BCR sequencing data to treatment-response modeling.

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Neuroscience / CNS Genomics

Neurogenomics and brain-organoid bioinformatics for CNS disease and development research.

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Microbiology & Infectious Disease

Pathogen genomics, outbreak tracking, and infectious-disease surveillance pipelines.

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Agriculture & Evolutionary Biology

Agricultural genomics, comparative genomics, and eDNA/biodiversity analysis.

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Drug Discovery & AI

AI-assisted target identification, pharmacogenomics, and cell & gene therapy bioinformatics.

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Marine Bioinformatics

eDNA and metabarcoding biodiversity, marine metagenomics, population genomics, and aquaculture.

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How it works

Five steps, start to finish

01

Consultation

Tell us about your data and your question. We scope the analysis and flag anything that needs attention before it starts.

02

Scope & Quote

You receive a written scope, timeline, and price — public pricing for individual and university work, or a formal SOW for institutional projects.

03

Secure Transfer

Data moves under NDA via encrypted transfer. Nothing starts until a signed agreement is in place.

04

Analysis & QC

An analyst runs the pipeline, documents every step, and validates outputs against QC benchmarks before delivery.

05

Delivery & Support

You receive a full report, figures, and methods text — plus revision support through journal review.

What you receive

Every report is built to survive peer review

Not a spreadsheet dump — a structured deliverable your co-authors and reviewers can actually use.

  • Full methods section, written in journal-ready language
  • Publication-grade figures with legends, at print resolution
  • QC summary and parameter log for every pipeline step
  • Versioned, reproducible pipeline documentation
  • Raw and intermediate files, organized and annotated
Data handling

Confidentiality is the default, not an add-on

Every engagement starts with an NDA. Data is transferred and stored under encryption, and our workflows are documented for audit and reproducibility.

Read our Compliance & Data Security page

What's standard on every project

  • Signed NDA before data transfer
  • Encrypted transfer and storage
  • Documented, versioned pipelines for reproducibility
  • Data deletion on request after project close
Pricing

Transparent by design

Individual and university pricing is public. Institutional work is scoped and quoted — never assumed.

Individual
$149+

For PhD students and independent researchers

  • Standard analysis pipeline
  • 3–5 business day turnaround
  • Written report and figures
  • Email support through revisions
Institutional
Custom

For biotech, pharma & clinical teams

  • Formal SOW and NDA
  • Compliance documentation on request
  • Dedicated project lead
  • Multi-phase program support
FAQ

Common questions

Answers to what most researchers and project leads ask before starting.

We work with established, peer-reviewed tools — including GATK, STAR, DESeq2, Bowtie2, and Seurat — matched to your data type, rather than in-house black boxes. Every pipeline run is documented with tool versions so results are fully reproducible.
FASTQ, BAM, SAM, VCF, FASTA, BED, GFF/GTF, and standard spreadsheet formats such as CSV and XLSX. If your data is in another format, ask us — we can usually work with it.
Most individual and university-tier projects are delivered in 3 to 7 business days. Larger multi-omics or institutional projects are scoped with a specific timeline in the written quote, typically 2 to 4 weeks.
Yes. Every project begins with a signed NDA before any data is transferred, and data is handled under encryption throughout the engagement.
Revision support is included for a defined window after delivery. We will rerun analysis or adjust figures in response to reviewer comments at no extra charge within that period.

Have data and a deadline?

Tell us what you're working with — we'll scope it honestly, including if we're not the right fit.