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The Barcelona Institute for Global Health (ISGlobal), a centre supported by the \u201dla Caixa\u201d Foundation, has launched HTGAnalyzer, a new, easy-to-use, fast and reproducible bioinformatics tool for advanced transcriptomic data analysis. Designed within the R statistical environment, this package simplifies complex analytical processes, making them accessible to professionals without specific expertise in bioinformatics.<\/p>\n
Transcriptomic analysis: key to personalised medicine<\/p>\n
This type of analysis examines all messenger RNA molecules present in a cell at a given time,\u00a0revealing which genes are expressed\u00a0and in what quantity. This information is\u00a0crucial in precision medicine, an approach that seeks to tailor treatments to each patient\u2019s genetic and molecular profile.<\/p>\n
Despite its clinical potential, the implementation of transcriptomic techniques has been limited not by data generation, but by the complexity of the required bioinformatics analysis.<\/p>\n
A user-friendly tool for clinicians and researchers<\/p>\n
To address this challenge, the ISGlobal team has developed HTGAnalyzer: an automated, free and user-friendly tool for clinicians of various specialities.\u00a0Laia D\u00edez-Ahijado\u00a0was the lead author of the tool, which was jointly conceptualised by\u00a0Natalia Rakislova\u00a0and\u00a0Robert Albero.<\/p>\n
The study, published in\u00a0Computers in Biology and Medicine<\/a>, demonstrates how\u00a0HTGAnalyzer simplifies complex transcriptomic workflows, including data import and normalisation, sample quality control, differential gene expression analysis, functional enrichment, tumour microenvironment profiling and survival analysis. The tool uses patients\u2019 molecular data to identify biological and clinical differences, thereby supporting the clinical interpretation of results.<\/p>\n Validation using real-world oncology data<\/p>\n HTGAnalyzer was validated using multiple datasets, including RNA-seq data from The Cancer Genome Atlas (TCGA) and a cohort of patients with vulvar cancer \u2014 a rare and sometimes aggressive malignancy.<\/p>\n In the latter case, the tool identified differentially expressed genes, described their immunological profiles, and revealed genes and cellular pathways linked to this cancer and to patient survival. These findings highlight the clinical potential of HTGAnalyzer for generating knowledge applicable to cancer diagnosis, treatment, and prognosis.<\/p>\n Supporting precision medicine and health equity<\/p>\n With this development, the research team has achieved its goal of bridging the gap between complex bioinformatic analysis and the practical needs of clinical and research environments.\u00a0HTGAnalyzer\u00a0enables professionals without advanced bioinformatics expertise\u00a0to perform essential transcriptomic analyses\u00a0that are increasingly being used\u00a0in personalised medicine\u00a0to inform diagnosis, prognosis, and personalised treatments based on the patient\u2019s molecular biology.<\/p>\n Reference: D\u00edez-Ahijado L, del Rinc\u00f3n AM, Marim\u00f3n L, et al. HTGAnalyzer: An accessible R package with a web interface for enhanced transcriptomic analysis in precision medicine. Comp Bio Med. 2025;196:110772. doi: 10.1016\/j.compbiomed.2025.110772<\/a><\/p>\n This article has been republished from the following materials<\/a>. Note: material may have been edited for length and content. For further information, please contact the cited source. Our press release publishing policy can be accessed here<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"
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