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CALSCALE:GREGORIAN
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DTSTAMP:20260617T100853Z
UID:9996418f-2cbe-4d5e-999e-2c47e816c6d5
DTSTART:20260323T080000Z
DTEND:20260325T160000Z
DESCRIPTION:#### Learn a complete\, beginner-friendly single-cell workflow 
 - from raw data processing and QC to cluster annotation\, differential exp
 ression\, and integration across samples.\n\n**In a nutshell**\n\n- Unders
 tand sequencing technologies for single-cell analysis (plate-based vs drop
 let-based)\n- Process\, QC and analyze scRNA-seq data with a structured\, 
 reproducible workflow\n- Identify\, visualize and annotate cell clusters u
 sing practical marker-based strategies\n- Integrate multi-sample data and 
 handle batch effects with confidence
LOCATION:PC-College\, Stresemannstraße 78\, 10963 Berlin\, Germany
SUMMARY:Single-Cell RNA-Seq Data Analysis: A Practical Introduction
URL;VALUE=URI:https://www.ecseq.com/workshops/workshop_2026-03-Single-Cell-
 RNA-Seq-Data-Analysis
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