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

ABSTRACT: 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 https://rbc-dsai-iitm.github.io/NetGenes/.

SUBMITTER: Senthamizhan V

PROVIDER: S-EPMC8495214 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

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

Senthamizhan Vimaladhasan V Ravindran Balaraman B Raman Karthik K

Frontiers in genetics 20210923

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 ...[more]

PMID: 34630517

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