Bioinformatics, Biology and Medical Research: our expert analyses and insights
Batch effects in single-cell RNA-seq cannot always be corrected computationally. Learn why experimental design often matters more than integration tools such as Harmony, Seurat, scVI, or ComBat, and how to anticipate irrecoverable situations.
When artificial intelligence both writes and evaluates scientific literature: ethical challenges, bias risks, and the impact on research integrity.
From research lab to clinical practice: tracing the rise of RNA-seq as a molecular diagnostic tool and a cornerstone of precision medicine.
How high-throughput sequencing and bioinformatics enable the detection, tracking, and anticipation of emerging viral pathogens on a global scale.
A critical look at machine learning models for molecular classification, prognostic prediction, and precision medicine — what they deliver and where they fall short.
Stacking genomics, transcriptomics, and proteomics is not enough: what truly sets multi-omics integration apart from a simple combination of independent analyses?
How spatial technologies (Visium, MERFISH, Slide-seq) enable gene expression mapping and reveal the functional architecture of tissues at unprecedented resolution.
The areas we explore in our blog — and in which we support our clients daily.
From data preprocessing to clustering: complete and interpretable scRNA-seq analyses.
Visium, MERFISH, Slide-seq: resolving biology within its tissue context.
Machine learning, deep learning, and foundation models applied to omics data.
Microbiome characterization and diversity analysis through shotgun sequencing and 16S.
ATAC-seq, ChIP-seq, methylation: decoding the mechanisms of gene regulation.
Nextflow, Snakemake, containers: industrialising your analyses for reliable, reproducible results.
Our expert team is available to analyse your omics data and support you from analysis to publication.
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