FunGeCo: a web-based tool for estimation of functional potential of bacterial genomes and microbiomes using gene context information

Author:

Anand Swadha1,Kuntal Bhusan K123,Mohapatra Anwesha1,Bhatt Vineet1,Mande Sharmila S1

Affiliation:

1. Bio-Sciences R&D, department, TCS Research, Tata Consultancy Services Ltd., Pune 411 013, Maharashtra, India

2. CSIR-National Chemical Laboratory, Chemical Engineering and Process Development (CEPD) department

3. CSIR-National Chemical Laboratory Campus, Academy of Scientific and Innovative Research (AcSIR), CEPD department, Pune 411 008, Maharashtra, India

Abstract

Abstract Motivation Functional potential of genomes and metagenomes which are inferred using homology-based methods are often subjected to certain limitations, especially for proteins with homologs which function in multiple pathways. Augmenting the homology information with genomic location of the constituent genes can significantly improve the accuracy of estimated functions. This can help in distinguishing cognate homolog belonging to a candidate pathway from its other homologs functional in different pathways. Results In this article, we present a web-based analysis platform ‘FunGeCo’ to enable gene-context-based functional inference for microbial genomes and metagenomes. It is expected to be a valuable resource and complement the existing tools for understanding the functional potential of microbes which reside in an environment. Availability and implementation https://web.rniapps.net/fungeco [Freely available for academic use]. Supplementary information Supplementary data are available at Bioinformatics online.

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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