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# Bioinfromatics Data with R

The files in here are from the course BIOI4440 Biological Data Analysis with R.

The course covered aspects of running data-analysis with BioConductor packages

The data includes e.g. high-throughput sequencing, ELISA and mass spectrometry data.

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Files are unscrutinized, meaning that eg. the comments addressed to the lecturer are left as such  
also there might be some sub-tasks that haven't been complished or have a wrong solution.  


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Weekly numbers correspond the context by following:
1. Introduction to R statistical environment
1. Practicing R programming
1. Simple sequence analysis
1. Annotating gene groups
1. Transcriptomics: gene expression microarrays and qRT-PCR
1. Deciphering the regulome: from ChIP to ChIP-seq

Some of the scripts need external datasets that are not involved. Any unauthorized usage is prohibited.