Advanced Bioinformatics Services
for NGS data analysis

Where innovation meets genomics.

We bring decades of genomic expertise to your Next-Generation Sequencing (NGS) projects. Our team, rooted in groundbreaking initiatives such as the Human Genome Project, the International Cancer Genome Consortium, and Innovative Medicine Initiatives (IMIs), delivers cutting-edge bioinformatics solutions tailored to meet your specific needs.

We offer comprehensive, end-to-end data analysis services, including whole-genome and exome sequencing to RNA-Seq, single-cell analysis, and epigenomics studies. From raw data quality control to advanced computational modeling, we provide tailored analytical support for research and clinical applications.

Hm Blk Forpharma 1

We specialize in customized bioinformatics workflows that empower researchers, clinicians, and industry leaders to harness the potential of multi-modal omics. By unlocking transformative insights, we help you achieve your research goals and drive innovation.

We offer comprehensive bioinformatics expertise across all levels of NGS data analysis:

  • Primary Analysis: Raw data processing and quality control.
  • Secondary Analysis: Alignment, variant calling, expression profiling
  • Tertiary Analysis: Functional interpretation, pathway analysis, and data integration.

Partner with Alacris to transform complex genomic data into actionable discoveries.

We analyse Whole Genome Sequencing (WGS) and Whole Exome Sequencing (WES) data, to identify sequence variants (mutations, indels), HLA types, copy number variations (CNVs), and structural variants (in WGS data only). Our robust genomic analysis pipelines are designed to deliver interpreted data. We also analyse Whole Genome Bisulfite Sequencing (WGBS) data and estimate genome-wide methylation profiles and differentially methylated regions (DMRs) between different conditions or sample groups.

Amplicon sequencing and panel sequencing analysis: we identify sequence variants in targeted panels and custom amplicon sequencing data

Empowering discovery through advanced transcriptomics.

We offer comprehensive transcriptomic analysis services tailored to diverse applications, such as biomarker discovery, uncovering disease mechanisms, and identifying novel therapeutic targets. Leveraging advanced tools and unparalleled expertise, we ensure you extract maximum value from your RNA data.

Gene Expression Profiling: we quantify gene expression levels, compare gene expression profiles across different conditions, time points, or treatment groups to identify differentially expressed genes (DEGs) across conditions. We map gene regulatory networks and annotated key biological pathways with Ontology (GO) terms, KEGG pathways, and other functional attributes. We also apply computational tools based on graph theory for sample clustering and identification of biologically-relevant gene expression patterns in samples cohorts. We also characterize the expression of long non-coding RNAs (lncRNAs), as well as miRNAs.

Alacris 8166

Alternative Splicing, Isoform Analysis to investigate isoform-level expression and alternative splicing events.

Gene fusion analysis for identifying and characterizing gene fusion events from RNA-Seq data. Gene fusions occur when two distinct genes become abnormally joined due to structural variations like chromosomal rearrangements, translocations, inversions, or deletions. These events are often associated with cancer and other diseases, making their detection critical for diagnostics, research, and therapeutics development.

Bulk RNA-seq deconvolution enables to get insights into tissue heterogeneity without single-cell data. We apply several computational methods for estimating the relative proportions of the different cell types present in a sequenced sample. For instance, these methods are instrumental to explore the tumor microenvironment (TME) and immune cells infiltration. RNA-Seq deconvolution bridges the gap between bulk RNA-Seq and single-cell analysis, offering a powerful tool for dissecting tissue complexity in health and disease.

Single-Cell RNA-Seq (scRNA-Seq) to analyse cellular heterogeneity and identify unique cell populations with high-resolution single-cell transcriptomics. We perform dimensionality reduction, clustering, and cell type annotation for scRNA-Seq dataset, enabling to explore dynamic expression patterns in complex tissues.

Spatial Transcriptomics: to accompany our Stereo-Seq laboratory services, we analyze gene expression within specific spatially resolved contexts for deeper insights into biological processes and cell-communication networks.

Comprehensive Molecular Tumor Analysis with the Alacris-CMTA®, a unique pipeline combining bulk RNA-seq and WES (or WGS) analysis carried out within the scope of our ISO 15189 accredited laboratory. We deliver an interpreted tumor report informing oncologists for treatment decisions

Why choose Alacris ?

Comprehensive Analysis and Customized Solutions

Your research is unique, and so is our approach. We design bioinformatics workflows that align with your project’s specific goals, delivering insights that drive results. We use standard platforms as well as custom pipelines for optimized analysis results.

Expert Team

Our experienced bioinformaticians and data scientists collaborate with academic institutions, biotechnology companies, and clinical laboratories. This diverse expertise allows us to tackle complex datasets and provide high-quality solutions across various applications.

Actionable Insights

We go beyond delivering raw data. We deliver knowledge with interpreted analysis reports highlighting biologically meaningful results.

Partner with us

Let us help you uncover the stories hidden in your RNA data. Contact us today to discuss your NGS data analysis needs