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Transcript Assembly Visualization
View the merged GTF file from the 'de_novo' mode. Remember this merged GTF file combines both UHR and HBR (GTFs for each individually were also produced earlier).
cd $RNA_HOME/expression/stringtie/de_novo/
head stringtie_merged.gtf
For details on the format of these files, refer to the following links:
- https://ccb.jhu.edu/software/stringtie/gff.shtml#gffcompare
- http://cole-trapnell-lab.github.io/cufflinks/cuffmerge/index.html
- http://cole-trapnell-lab.github.io/cufflinks/cuffcompare/index.html#transfrag-class-codes
FIX: How many genes have at least one transcript assembled by StringTie in the 'de_novo' results?
cd $RNA_HOME/expression/stringtie/de_novo/
cat stringtie_merged.gtf | perl -ne 'if ($_ =~ /gene_name\s\"(\w+)\"/){print "$1\n"}' | sort | uniq | wc -l
How many genes have at least one novel transcript assembled?
grep "j" merged.stringtie_merged.gtf.tmap
grep "j" merged.stringtie_merged.gtf.tmap | cut -f 1 | sort | uniq | wc -l
- View the grand merged.gtf files that were generated by each of the StringTie modes: 'ref_guided', 'de_novo'.
- Note: For the 'ref_only' mode, only the supplied transcript were considered. Therefore the gtf file from any individual stringtie (unmerged) will be the same and serve for comparison.
- The following can be loaded directly in IGV by url
- http://YOUR_IP_ADDRESS/rnaseq/expression/stringtie/ref_only/HBR_Rep1/transcripts.gtf
- http://YOUR_IP_ADDRESS/rnaseq/expression/stringtie/ref_guided/stringtie_merged.gtf
- http://YOUR_IP_ADDRESS/rnaseq/expression/stringtie/de_novo/stringtie_merged.gtf
Load the BAM files at the same time as the junctions.bed and merged.gtf files:
- The following can be loaded directly in IGV by url
- http://YOUR_IP_ADDRESS/rnaseq/alignments/hisat2/UHR.bam
- http://YOUR_IP_ADDRESS/rnaseq/alignments/hisat2/HBR.bam
Go to the following regions:
- 22:45,334,669-45,342,395
- 22:45,210,970-45,214,832
Do you see the evidence for any novel exons/transcript that are found in 'de_novo' or 'ref_guided' modes but NOT found in 'ref_only' mode? Explore in IGV for other examples of novel or different transcript predictions from the different cufflinks modes. Pay attention to how the predicted transcripts line up with known transcripts. Try loading the Ensembl transcripts track (File -> Load from Server).
NOTE: We have obviously just scratched the surface exploring these output files.
| Previous Section | This Section | Next Section | |:-----------------------------------------------:|:------------------------------------------------------------:|:-------------------------:| | Differential Splicing | Splicing Visualization | Kallisto |
NOTICE: This resource has been moved to rnabio.org. The version here will be maintained for legacy use only. All future development and maintenance will occur only at rnabio.org. Please proceed to rnabio.org for the current version of this course.
Table of Contents
Module 0: Authors | Citation | Syntax | Intro to AWS | Log into AWS | Unix | Environment | Resources
Module 1: Installation | Reference Genomes | Annotations | Indexing | Data | Data QC
Module 2: Adapter Trim | Alignment | IGV | Alignment Visualization | Alignment QC
Module 3: Expression | Differential Expression | DE Visualization
Module 4: Alignment Free - Kallisto
Module 5: Ref Guided | De novo | Merging | Differential Splicing | Splicing Visualization
Module 6: Trinity
Module 7: Trinotate
Appendix: Saving Results | Abbreviations | Lectures | Practical Exercise Solutions | Integrated Assignment | Proposed Improvements | AWS Setup