AUTHOR=Senthamizhan Vimaladhasan , Ravindran Balaraman , Raman Karthik 

TITLE=NetGenes: A Database of Essential Genes Predicted Using Features From Interaction Networks

JOURNAL=Frontiers in Genetics

VOLUME=12

YEAR=2021

URL=https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2021.722198

DOI=10.3389/fgene.2021.722198

ISSN=1664-8021

ABSTRACT=<p>Essential gene prediction models built so far are heavily reliant on sequence-based features, and the scope of network-based features has been narrow. Previous work from our group demonstrated the importance of using network-based features for predicting essential genes with high accuracy. Here, we apply our approach for the prediction of essential genes to organisms from the STRING database and host the results in a standalone website. Our database, NetGenes, contains essential gene predictions for 2,700+ bacteria predicted using features derived from STRING protein–protein functional association networks. Housing a total of over 2.1 million genes, NetGenes offers various features like essentiality scores, annotations, and feature vectors for each gene. NetGenes database is available from <ext-link ext-link-type="uri" xlink:href="https://rbc-dsai-iitm.github.io/NetGenes/" xmlns:xlink="http://www.w3.org/1999/xlink">https://rbc-dsai-iitm.github.io/NetGenes/</ext-link>.</p>