Closed sr320 closed 5 years ago
There are a few visual representations I have in mind:
I also have a handful of tables with information about DMR location with respect to mRNA coding regions, exons, and introns that may or may not lend themselves to other visuals.
My visual presentation would be a heat map of the abundance of sequences for given taxa by sample, which would be shown as location. For the overall presentation, I plan to also include a map to give spatial orientation to my samples and a flowchart to represent the data cleaning process.
I'm going to be using IGV in order to visualize where in the genome the SNPs occur. I will compare the locations of the SNPs for both samples in relation to the reference genome
I'm not exactly sure what the final output will be yet. I was hoping to get some aligned reads, but that's not looking like that will be the case. The main issue being that my reads are not aligning to their references genes. But I think there are still some interesting relationships I can still visually like histograms and pie charts showing read size and number, and how many reads were able to align.
My final product will be a .vcf file of 10 individuals from 2 species. I will use IGV to visualize a subset of the interesting SNPs. I am also looking into other ways to visualize SNPs such as CircosVCF but not sure if it will work without karyotypes.
I am working on getting three main visuals for my project:
I will show a venn diagram with the number of proteins found in each coral treatment group and the number of proteins shared between each combination of treatment groups. Also I will show an NMDS plot with clustering and a subset of eigenvectors representing significant proteins that influence the grouping.
I will have PCA biplots with my gonad and larval quantseq data, in addition to some scatter plots showing counts of genes that are "significantly" different between pH groups (quotes used b/c bonferroni correction wipes out any significance ... interested in discussing this with folks in class).
I will have barplots representing sample coverage as well as maybe an IGV type visualization of where the snps are occurring in the catalog (de novo genome).
What would be an appropriate visual representation of your findings / product?