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In the bowtie2 example, we mapped in
--localmode. Try mapping in--end-to-endmode (aka global mode).- Do the BWA tutorial so you can compare their outputs.
- Did bowtie2 or BWA map more reads?
- In our examples, we mapped in paired-end mode. Try to figure out how to map the reads in single-end mode and create this output.
- Which aligner took less time to run? Are there any options you can change that:
- Lead to a larger percentage of the reads being mapped? (increase sensitivity)
- Speed up performance without causing many fewer reads to be mapped? (increase performance)
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Next steps...
From here you can use the output SAM files to predict genome variation in the SNV Calling Tutorial (SAMtools) or view your mapped reads in the Integrative Genomics Viewer (IGV) TutorialThe next steps are often to view the output using a specific viewer on your local machine, or to begin identifying variant locations where the reads differ from the reference sequence. These will be the next things we cover in the course. Here is a link to help you return to the GVA 2015 course schedule.