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DTSTAMP:20260407T175532Z
UID:f3851ab1-3e80-49b5-a54f-fc2c1047d624
DTSTART:20270412T090000Z
DTEND:20270416T170000Z
DESCRIPTION:This five‑day virtual course offers a focused introduction to
  analysing single‑cell RNA sequencing (scRNA‑seq) data using Python an
 d command‑line tools. It is designed for you if you are a researcher in 
 biology\, computational science\, and data analysis who wants to understan
 d and apply core scRNA‑seq workflows. You should have basic familiarity 
 with the Unix command line and a foundational understanding of Python.\n\n
 Throughout the course\, we will guide you through the main steps of drople
 t‑based scRNA‑seq analysis\, from raw sequencing reads to clustering a
 nd biological interpretation. You will learn about experimental design\, d
 ata processing\, quality control\, normalisation\, feature selection\, dim
 ensionality reduction\, batch correction\, clustering\, marker gene identi
 fication\, and differential expression. Additional sessions introduce spat
 ial transcriptomics\, trajectory analysis\, multi‑omics integration\, an
 d the [Single Cell Expression Atlas.](https://www.ebi.ac.uk/gxa/sc/home)\n
 \nTraining combines lectures\, live discussions\, and hands‑on exercises
  using EMBL‑EBI’s virtual infrastructure\, allowing you to practise wo
 rkflows without installing specialised software.\n\n**Virtual course**  \n
 You will learn via a mix of pre-recorded lectures\, live presentations\, a
 nd trainer Q&amp\;A sessions. Practical experience will be developed throu
 gh group activities and trainer-led computational exercises. Live sessions
  will be delivered using Zoom with additional support and asynchronous com
 munication via Slack.\n\n'Single-cell RNA-seq analysis with Python 2027' i
 s currently in development. Sign up for alerts to hear as this course deve
 lops.
LOCATION:European Bioinformatics Institute\, Hinxton
SUMMARY:Single-cell RNA-seq analysis with Python
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/single-cell-rna-seq-ana
 lysis-python-2027
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