Organizer: CSC - eLearning

Start: Friday, 01 January 2021 @ 09:00

End: Monday, 31 May 2021 @ 00:00

Venue: online

Description:

Description:This e-learning course introduces single cell RNA-seq data analysis methods and tools to researchers who are planning to use single cell RNA-seq for their own projects. The course covers the processing of transcript counts from quality control and filtering to dimensional reduction, clustering, and differential expression analysis. In addition, it shows how to do integrated analysis of two samples.You can login to our e-learning platform , self-register to the course (enrolment key: scRNAseqChipster) and complete it any time in January-May 2021! Prerequisites:Basics of single cell RNA sequencing The free* and user-friendly Chipster software is used in the exercises, so no previous knowledge of Unix or R is required, and the course is thus suitable for everybody who is planning to use single cell RNA-seq.*You need credentials for Chipster, read more here: https://chipster.csc.fi/access.shtml You can log in with your institutes credentials (Haka, Virtu). We also offer 3-week test credentials, which you can use to complete the course.Learning objectives:After this course you should be able to:use the Seurat tools available in Chipster to analyze single cell RNA-seq dataname and discuss the different steps of single cell RNA-seq data analysisunderstand the advantages and limitations of single cell RNA-seq data analysis in general and in ChipsterKeywords: Chipster, Seurat, single cell sequencing, scRNA-seq, clustering, cluster marker genesPracticalities:Each section of this course contains learning videos, some hands-on exercises and some questionnaires/tasks. The tasks can be used to confirm that you have reached the learning goals. Once you have finished all the tasks, you can download a course certificate with a unique course identifier. The estimated time to complete the course is 1-3 working days. In the certificate we recommend granting 1 credit (ECTS) for the course. To self-enrol (key: scRNAseqChipster) in this MOOC course, please visit our e-Lena platform.To self-enroll you need to first login using your HAKA or ELIXIR AAI credentials. If you do not have one, please contact event-support@csc.fi.Check out the recording from our kick-start webinar for this course:

Event type:
  • Workshops and courses

Keywords: Chipster, MOOC, TESS, bioinformatics, ongoing, online, scRNA-seq

MOOC: Single-cell RNA-seq data analysis using Chipster https://tess.elixir-europe.org/events/mooc-single-cell-rna-seq-data-analysis-using-chipster Description:This e-learning course introduces single cell RNA-seq data analysis methods and tools to researchers who are planning to use single cell RNA-seq for their own projects. The course covers the processing of transcript counts from quality control and filtering to dimensional reduction, clustering, and differential expression analysis. In addition, it shows how to do integrated analysis of two samples.You can login to our e-learning platform , self-register to the course (enrolment key: scRNAseqChipster) and complete it any time in January-May 2021! Prerequisites:Basics of single cell RNA sequencing The free* and user-friendly Chipster software is used in the exercises, so no previous knowledge of Unix or R is required, and the course is thus suitable for everybody who is planning to use single cell RNA-seq.*You need credentials for Chipster, read more here: https://chipster.csc.fi/access.shtml You can log in with your institutes credentials (Haka, Virtu). We also offer 3-week test credentials, which you can use to complete the course.Learning objectives:After this course you should be able to:use the Seurat tools available in Chipster to analyze single cell RNA-seq dataname and discuss the different steps of single cell RNA-seq data analysisunderstand the advantages and limitations of single cell RNA-seq data analysis in general and in ChipsterKeywords: Chipster, Seurat, single cell sequencing, scRNA-seq, clustering, cluster marker genesPracticalities:Each section of this course contains learning videos, some hands-on exercises and some questionnaires/tasks. The tasks can be used to confirm that you have reached the learning goals. Once you have finished all the tasks, you can download a course certificate with a unique course identifier. The estimated time to complete the course is 1-3 working days. In the certificate we recommend granting 1 credit (ECTS) for the course. To self-enrol (key: scRNAseqChipster) in this MOOC course, please visit our e-Lena platform.To self-enroll you need to first login using your HAKA or ELIXIR AAI credentials. If you do not have one, please contact event-support@csc.fi.Check out the recording from our kick-start webinar for this course: 2021-01-01 09:00:00 UTC 2021-05-31 00:00:00 UTC CSC - eLearning online online [] [] [] workshops_and_courses [] ChipsterMOOCTESSbioinformaticsongoingonlinescRNA-seq