In various omic scenarios we have a group of genes of interest from a transcriptomic analysis, or from different genomic studies where we have found causal variants of a certain disease or even a selection of genes obtained after a literature review.

We would like to know what functions are behind this group of genes. Through the following practical cases, we will know in detail what strategies and tools we can use in the functional characterization

Gene Ontology web tool to functional characterization in omic studies: http://www.pantherdb.org/

1. Evaluación funcional del efecto de hormona T3 en estudio transcriptómico con datos de RNA-Seq
2. Caracterización funcional de genes asociados a distrofias de retinas

1. Functional evaluation of the effect of hormone T3 in RNA-Seq study
2. Functional profiling from clusterProfiler

1. Getting functional annotation in Human, from Ensembl BioMart
2. Getting functional annotation in Arabidopsis Thaliana, from Ensembl BioMart
3. Functional evaluation of the effect of hormone T3 in transcriptomic study
4. More exercises.

After the detection of biomarkers of interest, we would like to know what functions are behind these genes or significant microRNAs. For that we can continue the analysis with various characterization tools especially oriented to small RNAs:

• omiRas: web server for the annotation, comparison and visualization of non-coding RNAs.
• miRNet: an integrated platform linking miRNAs, targets & functions.
• mirPath v.3: a miRNA pathway analysis web-server.

Activities

1. Functional profiling in microRNAs study about lung cancer