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DTSTAMP:20260630T061641Z
UID:781ef822-f464-4a71-9184-fc6403a6a350
DTSTART:20220711T090000Z
DTEND:20220715T170000Z
DESCRIPTION:This course will introduce and explore a number of key bioinfor
 matics tools and resources that can be applied to T-cell immunological res
 earch. Targeted at life scientists with a wet-lab focus\, it will provide 
 participants with an overview of best-practice methods in applying bioinfo
 rmatics approaches and enable them to become confident users of their own 
 and public domain data. The resources introduced during the course will co
 ver a variety of data types\, from genomic data to computational models\, 
 and biological pathways. Participants will gain experience of the analysis
  pipelines for RNA-Seq and flow cytometry experiments as well as data inte
 gration of -omics data and basics concepts of machine learning approaches.
 This course has been developed in collaboration with the [ENLIGHT-TEN+ pro
 ject](http://www.enlight-ten.eu/)\, a consortium focused on developing ear
 ly-stage research expertise in T-cell immunology and big data analysis.\n\
 n**In-person course**  \n We plan to deliver this course in an in-person m
 anner onsite at our training suite at EMBL-EBI\, Hinxton.  Please be awar
 e that we are continually evaluating the ongoing pandemic situation and\, 
 as such\, may need to change the format of courses at short notice. Your s
 afety is paramount to us\; you can read our [**COVID guidance policy**](h
 ttps://www.ebi.ac.uk/training/covid-policy) for more information. All inf
 ormation is correct at time of publishing.
LOCATION:European Bioinformatics Institute\, Hinxton
SUMMARY:Bioinformatics for T-Cell immunology
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/bioinformatics-t-cell-i
 mmunology-2022
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