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Abstract scientific illustration on a dark navy background showing a central glowing sphere acting as a hub. On the left, softly lit capsule shapes and particles flow inward toward the center. On the right, the energy disperses outward into flowing lines, molecular networks, and data-like wave patterns, symbolizing the transformation from compounds to complex biological insights, depicting DRUG-seq

How DRUG-seq Reveals Mechanism-of-Action (MoA)

DRUG-seq is becoming a widely used transcriptomics method to study how compounds affect cellular biology at scale. In drug discovery, identifying compounds that produce a biological effect is only the…

Abstract illustration showing a long list of single-cell marker genes next to multiple simplified cells, representing that gene lists alone do not define a cell type.

Why a list of genes is not a cell type

Single-cell sequencing is one of the most powerful discovery tools in biology. In a single experiment, you resolve full transcriptomes across every major and minor cell type in your tissue….

Why Every Single-Cell Experiment Needs a Pilot

Single-cell sequencing has never been easier to run and never easier to misinterpret. Today, you can pick a platform, send samples, and receive a dataset with thousands of cells and…

A recent photo of PERSIST-SEQ CONSORTIUM members

Single-cell + spatial transcriptomics pinpoints drug-tolerant niches in colorectal-cancer liver metastasis

In this case study, we describe our collaboration with the Colorectal Cancer Laboratory at IRB Barcelona. Through our end-to-end spatial workflow service built around Visium HD technology, we supported the identification of distinct micro-niches of colorectal cancer cells that persist after FOLFOX chemotherapy. Together, these insights provide a roadmap for developing more effective combination therapies.

Chromosomes ideogram of the human reference genome assembly GRCh38/hg38. Characteristic bands patterns are displayed in black, grey and white, while the gaps and partially assembled regions are displayed in blue and rose, respectively. Reference: Genome Data Viewer of the NCBI

Reference genomes in transcriptomic data

You have finally received your sequencing data and can’t wait to start analyzing it! But here’s the catch: raw FASTQ files alone won’t get you far. To extract meaningful biological…

Pablo Gómez Sacristán - JUNIOR BIOINFORMATICIAN

Why should you clean up your FASTQ files?

You have received a few tens or hundreds of gigabytes of sequencing data in the form of FASTQ files. If you are not yet familiar with this format, the amount of data can feel overwhelming at first. What do you do with these…