Hello! I am an internship student and I have given the task to perform analysis in a given data, but now I should propose things to do with the data in order to obtain the most of them, I would really like to add value so I am eager to learn anything, but it should be in a time span of 2-3 months. Learnt: basics of R and Cytoscape.
The data obtained corresponds to Gene Expression and miRNA expression.
Experiment:
4 cell lines that received a pharmacological treatment.
Used:
-Human Gene 2.1 ST 24 array plate
-miRNA4.1 24 array plate
What I have:
-CEL files
-Full reports including the parameters to evaluate the quality of the experiment and the data of hybridation summarized with RMA algorithm.
-An Excel for each experiment, with the gene annotation, Fold Change, p-values etc...
If I should add any information say me and I will!
Con you give me any idea?
PS: I am a total begginer in Bioinformatics, my major is in Biotech.
1 answer
I will ask you some items: RNAseq data? Tissue specific? Genome version (hg19/hg38?) Bibliography about drugs you used?
I think if you have RNAseq data that you could check about alternative splicing events on drug use. For that you can use a featureCounts (R package) for mapping the alignments to a exon.gtf file.
Idk if thats what you expect as an answer, Im also learning, but feel free to chat, I might help you or at least will try to throw some light (or more questions)
Cheers!
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