by Aditi Jain
“A classic challenge in biology is to study the function of proteins. Of various functions, essential functions are very interesting, as they map to important indispensable genes in an organism. Experimentally identifying these genes is rather expensive and challenging. Computational predictions can help point in the right direction, to prioritise experiments. To date, experimental data are available for <100 organisms! On the other hand, sequencing data are available for 1000s of organisms, as also interactome (networks of interactions) data. In the paper, we posit that network information is crucial to predict essentiality and achieve excellent performance in prediction, by simply using network data,” explains Dr. Raman.
Read the whole blog at
https://rbcdsai.iitm.ac.in/blogs/predicting-genes-through-network-approach/
Access the NetGenes database at https://rbc-dsai-iitm.github.io/NetGenes/
Original Paper: [bibtex file=karthikraman-publications.bib key=Senthamizhan2021NetGenes]