R programming analysis gene data
Budget: $30 – $250 USD
Apply data manipulation and analysis techniques studied so far to a new dataset from a genomics study. Interpret results and describe them in writing.
All tasks in this assignment are based on the data collected in the study of differences between mRNA and protein levels in humans and chimps by Fu et al. available in PubMed Central (http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1789144/). Two sets of data (with 143 and 159 genes/proteins in them respectively) for this article presented as supplementary tables 3 and 4 are the data we will be working with here. The aim is to reproduce some of their results and perform some additional analyses.
You’ll need to convert them to text format and read them into R using read.table for further analyses.
All tasks in this assignment are based on the data collected in the study of differences between mRNA and protein levels in humans and chimps by Fu et al. available in PubMed Central (http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1789144/). Two sets of data (with 143 and 159 genes/proteins in them respectively) for this article presented as supplementary tables 3 and 4 are the data we will be working with here. The aim is to reproduce some of their results and perform some additional analyses.
You’ll need to convert them to text format and read them into R using read.table for further analyses.
Related categories:
Statistics
Research Writing
R Programming Language
Statistical Analysis
SPSS Statistics