I am enrolled in an undergraduate computational biology course and I am struggling with the task of locating publicly accessible data for a course project. Ideally, from human patients / participants with control (unaffected) and experimental (affected) tissue sequences. I have been exploring The Cancer Genome Atlas, but I find the interface confusing in that I do not know where, or indeed if, sequence data in a format I understand, e.g., FASTA, can be found. I am required to determine the secondary RNA structures, e.g., alpha pleated sheets, beta barrels, etc. and PSIPRED requires that all submissions be amino acids. I am familiar with both Python and R so I could quickly learn how to use a specific package if doing so would facilitate the completion of a noteworthy project. Please note: Although, I mentioned a specific form of breast cancer in the title, triple negative, I am perfectly willing to change the major focus to another form of cancer as long as sequence data can be readily obtained. I also endeavor to obtain microarray data for the subsequent construction of a heat map illustrating differing levels of gene expression.