{"id":23981,"date":"2026-11-02T16:19:57","date_gmt":"2026-11-02T14:19:57","guid":{"rendered":"https:\/\/grnet.gr\/?p=23981"},"modified":"2026-11-03T13:46:23","modified_gmt":"2026-11-03T11:46:23","slug":"pharos-training-series-course-15-workshop-in-single-cell-rna-sequencing-analysis-on-november-25th-2026","status":"publish","type":"post","link":"https:\/\/grnet.gr\/en\/2026\/11\/02\/pharos-training-series-course-15-workshop-in-single-cell-rna-sequencing-analysis-on-november-25th-2026\/","title":{"rendered":"PHAROS Training Series – Course 15 “Workshop in single-cell RNA-Sequencing Analysis”, on November 25th, 2026"},"content":{"rendered":"

PHAROS AI Factory <\/strong>announces the 15th Course <\/strong>of its Training Series, under the title “Workshop in single-cell RNA-Sequencing Analysis<\/strong>“, under the topic AI4Health<\/strong>, held online via Zoom on November 25th, 2026.<\/p>\n

Presentation language<\/strong>: Greek<\/p>\n

Course Description<\/strong>: This workshop provides a comprehensive introduction to single-cell RNA sequencing (scRNA-seq) data analysis using Scanpy, a Python-based toolkit for analyzing single-cell transcriptomics data. Through a combination of theoretical lectures and hands-on exercises, participants will become familiar with the key concepts, computational methods, and analytical steps involved in a standard scRNA-seq analysis workflow. The workshop covers essential stages of single-cell data analysis, including quality control, preprocessing, highly variable gene selection, dimensionality reduction, clustering, differential gene expression analysis, and cell-type annotation. Particular emphasis is placed on understanding the rationale behind analytical choices, the impact of parameter selection, and common challenges and pitfalls in interpreting results. By the end of the workshop, participants will have gained practical experience in processing and exploring scRNA-seq datasets, identifying distinct cellular populations, and annotating cell types using marker genes and enrichment-based approaches. The workshop aims to equip participants with the foundational knowledge and practical skills needed to perform and critically evaluate single-cell transcriptomics analyses.<\/p>\n

Audience<\/strong>: Bioinformaticians, Biomedical Data Scientists, Academic Researchers, Master Students, PhD students<\/p>\n

Location<\/strong>: Online via Zoom (you will get the zoom link upon registration)<\/p>\n

Learning Objectives<\/strong>:<\/p>\n