| URL: | https://rbc-dsai-iitm.github.io/NetGenes |
| Full name: | Interaction Networks to Gene Essentiality |
| Description: | NetGenes is a web-database which contains essential genes for 2711 bacterial organisms predicted using protein-protein interaction networks. Housing a total of over 2.1 million genes, NetGenes offers various features like essentiality scores, annotations, and feature vectors for each gene. |
| Year founded: | 2021 |
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| Accessibility: |
Accessible
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| Country/Region: | India |
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| University/Institution: | Indian Institute of Technology Madras |
| Address: | 5th Floor, Block-II, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai - 600 036, INDIA |
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| Country/Region: | India |
| Contact name (PI/Team): | Dr. Karthik Raman |
| Contact email (PI/Helpdesk): | kraman@iitm.ac.in |
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NetGenes: A Database of Essential Genes Predicted Using Features From Interaction Networks. [PMID: 34630517]
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/. |