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06_visIGV.rst

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Part 7: Visualize gene expression in IGV

For this part of the hands-on, you need to download some data to your computer to visualize it locally. These files are:

  • the contigs of you genome of interest /work/projects/embomicrobial2020/data/metaT/binning/<SAMPLE>/<MAG>.fasta.contigs.fa
  • the .bed file you created in the last step
  • the alignment files and their indices /work/projects/embomicrobial2020/data/metaT/binning/<SAMPLE>/<MAG>.mt.bam, /work/projects/embomicrobial2020/data/metaT/binning/<SAMPLE>/<MAG>.mg.bam, /work/projects/embomicrobial2020/data/metaT/binning/<SAMPLE>/<MAG>.mt.bam.bai, and /work/projects/embomicrobial2020/data/metaT/binning/<SAMPLE>/<MAG>.mg.bam.bai
  • the filtered GFF file /work/projects/embomicrobial2020/data/metaT/annotations/<SAMPLE>/<MAG>.annotation_CDS_RNA_hmms.gff

IGV is a graphical interface for genome visualization. You can run it on your computer. Here's how you can install it: get IGV <_static/getIGV.pdf>.

Once you have installed IGV, you can open the GUI and follow the description here <_static/runIGV.pdf> to visualize the MAG, the metagenomics and metatranscriptomics reads that map to it, the positions of the open reading frames, and the positions of the metatranscriptomics-only contigs we were able to recover in the last step.

Tasks

Explore the variation in coverage depth in the metagenome and metatranscriptome.

Focus on the metatranscriptome: can you see polycistronic operons? Compare the pattern of coverage with metatransctiptomic reads to the positions of the metatranscriptome-assembled contigs. Do you see a pattern? Can you find positions with a surprising coverage depth?

Use the search bar to find a gene with the KO annotation K00635. This is a key gene for the lipid-accumulating phenotype of Microthrix parvicella and the whole floating sludge community.