Bioinformatics blog

Read how senior bioinformatician Dr. Efstathios Vlachavas built a multiomics bioinformatics career, from translational oncology research to Genevia.

Learn best practices for writing a clear, reproducible bioinformatics methods section that strengthens your manuscript and satisfies reviewers.

Understand the difference between 5mC and 5hmC and how expert DNA methylation analysis reveals epigenetic signals hidden in your sequencing data.

Discover the benefits and applications of long-read sequencing and how tailored bioinformatics services turn complex data into biological insight.

See how precision oncology prioritizes oncogenic alterations, turning genomic data into actionable insights for targeted cancer treatment.

Read Patricia Thomas's move from academia to industry bioinformatics and what a career at a specialized bioinformatics company really looks like.

How ISO 9001 certification elevates bioinformatics quality, combining operational excellence with scientific rigor for reliable, reproducible results.

Go behind the screens for a glimpse of life with our bioinformatics team during a week at the Genevia office. Meet the people behind the science.

Explore Fredrik Salmén's spatial transcriptomics career and how expertise in this fast-growing field drives cutting-edge bioinformatics at Genevia.

Computational neoantigen prediction services that unlock personalized immunotherapy by identifying tumor-specific targets from sequencing data.

PCA plot showing lines instead of clouds? Learn the common causes and how to troubleshoot PCA plots in RNA-seq and omics data analysis.

Master scRNA-seq project planning with expert tips on design, sample size and analysis to set your single-cell RNA sequencing study up for success.

How Genevia upholds the highest information security standards in bioinformatics to keep your research data safe, confidential and protected.

Discover how Genevia redefines industry-academia bioinformatics collaboration, bringing commercial rigor and flexibility to academic research.

Discover Alba Machado-Lopez's single-cell bioinformatics career and what it takes to analyze complex single-cell data at Genevia.

Meet the Genevia scRNA-seq grant winner investigating muscle precursor diversity, and see how our RNA-seq bioinformatics grant supports research.

Explore Giulia Barbiera's immuno-oncology research career and how bioinformatics expertise advances cancer immunotherapy at Genevia.

Read Joana Viana's epigenetics bioinformatics career story and how DNA methylation and epigenomics expertise shapes research at Genevia.

Biomarker discovery services that identify targets and biomarkers for immunotherapies, accelerating drug development with expert bioinformatics.

Clonal evolutionary analysis of cancer that reveals how tumors evolve, uncovering resistance mechanisms and drivers with advanced bioinformatics.

Grigorios Georgolopoulos on bioinformatics project management, leadership and delivering high-quality analysis at a specialized bioinformatics company.

What is multiple testing correction? Learn how p-value adjustment prevents false positives in high-throughput biological data analysis.

Avoid common bioinformatics outsourcing pitfalls. Discover 5 dirty secrets of outsourcing bioinformatics and how to choose the right partner.

Integrative analysis of RNA-seq and ChIP-seq data that links gene expression with regulation to reveal deeper biological insight.

How bioinformatics supports research towards stress-hormone inhibiting cancer treatment, turning omics data into therapeutic insight.

How Genevia approaches publishing bioinformatics results, from co-authorship to peer-reviewed papers, and what it means for your research.

Cancer mutation analysis that identifies driver mutations and variants from sequencing data to advance oncology research and drug discovery.

Expert bioinformatics consulting and support for pharma, biotech and academia, from study design to data analysis and interpretation.

The 5 dirty secrets of RNA-seq differential expression analysis, and how to avoid common mistakes for reliable, reproducible results.

How machine learning in cancer research predicts patient survival from omics data, supporting prognosis and precision oncology.

Treatment response prediction using machine learning to identify likely responders from molecular data and guide precision medicine.

Season's greetings and the latest Genevia team news. A look back at our year in bioinformatics and thanks to our clients and partners.

Meet Maria Liivrand, a transcriptomics bioinformatics expert joining Genevia to strengthen our RNA-seq and gene expression analysis services.

An interview with bioinformatics CEO Antti Ylipää on his path from cancer researcher to leading Genevia Technologies.

An interview with bioinformatics CSO Professor Matti Nykter on research, science and the vision behind Genevia Technologies.

Answers to frequently asked questions about bioinformatics as a service, from pricing and timelines to data handling and deliverables.

Meet bioinformatics analyst Tommi Rantapero and the winding path that led him from the ice rink to a career in bioinformatics at Genevia.

Get expert bioinformatics advice. Discover the benefits of a consulting session and how early guidance saves you time, money and effort.

Do you need bioinformatics support before you have data? Learn why pre-data bioinformatics planning improves experimental design and results.

A practical guide to single-cell RNA sequencing (scRNA-seq) data analysis, from QC and clustering to biological interpretation of results.

Learn what bioinformatics as a service means, how it works and how it gives pharma, biotech and academia flexible access to expert analysis.

Why detailed bioinformatics reporting matters. Discover how thorough, reproducible reports make your results reliable and publication-ready.

The two main ways of running a bioinformatics project explained, helping you choose the right model for your research goals and budget.

Guidance on bioinformatics authorship and how to correctly acknowledge a commercial partner or service provider in your academic article.

RNA-seq vs microarrays compared. Understand the pros, cons and best use cases to choose the right technology for your gene expression study.