Computational Regulatory Genomics

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Classification of human genes by RNA metabolism profiles


Integrative classification of human coding and noncoding genes through RNA metabolism profiles

Publication:
N. Mukherjee, L. Calviello, A. Hirsekorn, S. Pretis, M. Pelizzola, U. Ohler (2017) : Integrative classification of human coding and noncoding genes through RNA metabolism profiles Nat. Struct. Mol. Biol.  

 

About 

We address two major unresolved issues in the field:

  1. What aspects of RNA metabolism discriminate mRNA from lncRNA?
  2. How can we identify meaningful lncRNA subgroups, and in particular distinguish functional lncRNAs from lncRNAs likely to be non-functional byproducts or noise?

To do this we quantitatively examined transcription, splicing, degradation, localization and translation for 15,120 human genes.

 

RNA Metabolism

 

 

Normalized fragment per million coverage of 4SU (blue), total (green), cytoplasmic (red) and nuclear (cyan) RNA profiles for lncRNAs from c1-c4. 

 

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