This tutorial introduces you to quality control of RNA-seq data, and it also explains how to check if your data was produced with a stranded protocol or not.
For read quality we recommend the FastQC program, or MultiQC for many samples. We have integrated them (and many other programs) in the Chipster analysis software which runs in a Web browser. For more info, please see chipster.csc.fi/.
Wow these set of videos are the most comprehensive
Glad you like them!
it's been a while since you published that, but it still so relevant. thank you
Thank you!
Thank you so much for the helpful information! Is it possible to have these slides of the RNA-Seq course?
Thank you for your information but how to do ? I mean we need to use a program for quality control? Is there any specific program?
For read quality we recommend the FastQC program, or MultiQC for many samples. We have integrated them (and many other programs) in the Chipster analysis software which runs in a Web browser. For more info, please see chipster.csc.fi/.
@@ChipsterTutorials Thank you and what if we zipped the FASTQ file , doest it be any problem? or it doesn't matter?
@@MissAsdfb99 gzipped FASTQ files work fine in Chipster, no problem :)
What if we are getting an error like "id line did not start with @"?
This means that your file is corrupted. Please see the possible solutions proposed by Simon Andrews at github.com/s-andrews/FastQC/issues/37