Hi all.
I am a 4th year cellular biology undergraduate, and in an effort to fulfill the requirements for graduation, I am required to construct and present a research project by mid-December of this year. Given my interests in cancer, I have decided to focus on Glioblastoma multiforme in a “dry lab” context. Unfortunately, my lack of experience is hampering my progress and I do not know what research questions to investigate. Concerning the tools I would be using, R and/or Python would be ideal since I have experience with both. I was hoping a more experienced researcher could kindly recommend one, or more, potential avenues for exploration so that I could begin the work necessary. If so, would I be safe in assuming public datasets of GBM data are available? If so, do you know what format they might be in?
Thank you for any help you could provide.
1 answer
Another option, in addition to seidel's, is to utilise the TCGA Glioblastoma Multiforme (GBM) data via a popular R package called TCGAbiolinks, which should absolutely be okay for an undergraduate project. There are specific workflows for GBM here. to get you started:
- Example data for TCGA Workflow: Analyze cancer genomics and epigenomics data using Bioconductor packages
- TCGAbiolinks: Downloading and preparing files for analysis
Kevin
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Are you familiar with pubmed? And the NCBI Gene Expression Omnibus (data sets)? I would recommend reading some review papers on Glioblastoma, and then start following whatever strikes your interest from that. While you're doing it, learn how to query for data sets at GEO, as well as branching out to other resources. That would be a start.