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BEGIN:VEVENT
DTSTAMP:20260618T120812Z
UID:04205a44-525f-418f-86d5-88846ef1db16
DTSTART:20200923T090000Z
DTEND:20200925T170000Z
DESCRIPTION:Educators:\nAltuna Alkalin\, Verdan Franke\, Bora Uyar (RBC/deN
 BI-epi Scientists from Berlin)\n\nDate:\n23-25 September 2020\n\nLocation:
 \nOnline\n\nContents:\nThe general aim of the course is to equip participa
 nts with practical and technical knowledge to analyze single cell RNA-seq 
 data. With this aim in mind\, we will go through unsupervised machine lear
 ning methods to analyze high-dimensional data sets\, and move on to statis
 tical methods developed to analyze bulk RNA-seq. Lastly\, we will introduc
 e analysis techniques used for single cell RNA-seq.\n\nThere will be theor
 etical lectures followed by practical sessions where students directly app
 ly what they have learned. The programming will be mainly done in R.\n\n  
   Day 1: Intro to machine learning &amp\; data visualization for genomics\
 n    Day 2: Bulk RNA-seq analysis\n    Day 3: Single cell RNA-seq analysis
 \n\nLearning goals:\nThe course will be beneficial for first year computat
 ional biology PhD students\, and experimental biologists and medical scien
 tists who want to begin data analysis or are seeking a better understandin
 g of computational genomics and analysis of popular sequencing methods.r\n
 \nPrerequisites:\nSome statistics and R programming experience will be goo
 d to keep up with the course. Practicals will be done in R.\n\nKeywords:\n
 Computational genomics\, RNA-seq\, Machine learing\,\n\nTools:\nR/Biocondu
 ctor\n
LOCATION:Berlin
SUMMARY:Computational genomics course for hands-on data analysis 2020 
URL;VALUE=URI:https://www.denbi.de/training/806-computational-genomics-cour
 se-for-hands-on-data-analysis-2020
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