layout	title
default	Schedule - scRNAseq course

OBS! Shedule is preliminary and may be subject to changes!

All lectures and exercises will be given via zoom, zoom-link will be sent to all students.

Lecture slides will be provided as links as they get completed.

Time	Description	Lecturer
09.00	Course introduction	Åsa & Paulo
09.30	scRNAseq methodologies and ESCG platform	Karolina Wallenborg
10.30	Break
11.00	scRNAseq Quality Control	Åsa Björklund
12.00	Lunch
13.00	Intro to exercises	Åsa Björklund
13.30	Exercises: Quality control	Åsa, Paulo, Lokesh, Erik
15.30	Wrap up session	Åsa & Paulo

Time	Description	Lecturer
9.00	Data normalization	Åsa Björklund
10.00	Break
10.15	Dimensionality reduction	Paulo Czarnewski
11.30	Exercises: Dimensionality reduction	Åsa, Paulo, Anna, Jonathan
12.00	Lunch
13.00	Batch correction + Data integration	Paulo Czarnewski
14.00	Exercises: Dimensionality reduction (continued)	Åsa, Paulo, Anna, Jonathan
15.30	Wrap up session	Åsa & Paulo

Time	Description	Lecturer
9.00	Clustering techniques and scRNAseq toolkits	Åsa Björklund
10.00	Break
10.15	Exercises: Data integration	Åsa, Paulo, Anna, Lokesh
11.15	Exercises: Clustering	Åsa, Paulo, Anna
12.00	Lunch
13.00	Differential expression	Åsa
14.00	Gene Set Analysis	Paulo
14.15	Exercises: Differential expression	Åsa, Paulo, Erik
15.30	Wrap up session	Åsa & Paulo

Time	Description	Lecturer
9.00	Trajectory inference analysis	Paulo Czarnewski
10.00	Break
10.15	Exercises: Trajectory inference	Åsa, Paulo, Jonathan, Lokesh
12.00	Lunch
13.00	Spatial Transcriptomics	Alma Andersson
14.00	Exercises: Spatial Transcriptomics	Åsa, Paulo, Alma, Anna
15.30	Wrap up session	Åsa & Paulo

Time	Description	Lecturer
09.00	Celltype prediction	Ahmed Mahfouz
10.00	Exercises: Celltype prediction	Åsa, Paulo, Ahmed, Erik
11.30	Summary of exercises	Åsa & Paulo
12.00	Lunch
13.00	Multimodal omics integration	Nikolay Oskolkov
14.00	Wrap up and Course Summary	Åsa & Paulo

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