Impact Factor 3.517 | CiteScore 3.60
More on impact ›

Technology and Code ARTICLE Provisionally accepted The full-text will be published soon. Notify me

Front. Genet. | doi: 10.3389/fgene.2019.00849

‘EviMass’: A literature evidence based miner for human microbial associations

  • 1Tata Consultancy Services (India), India
  • 2National Chemical Laboratory (CSIR), India
  • 3Academy of Scientific and Innovative Research, India

The importance of understanding microbe-microbe as well as microbe-disease associations is one of the key thrust areas in human microbiome research. High throughput metagenomic and transcriptomic projects have fueled discovery of a number of new microbial associations. Consequently, a plethora of information is being added routinely to biomedical literature, thereby contributing towards enhancing our knowledge on microbial associations. In this communication, we present a tool called ‘EviMass’ (Evidence based mining of human Microbial Associations) which can assist biologists to validate their predicted hypotheses from new microbiome studies. Users can interactively query the curated back-end database for microbe-microbe and disease-microbe associations. The ‘EviMass’ tool can also be used to upload microbial association networks generated from a human ‘disease-control’ microbiome study and validate the associations from biomedical literature. Additionally, a list of differentially abundant microbes for the corresponding disease can be queried in the tool for reported evidences. The results are presented as graphical plots, tabulated summary and other evidence statistics. ‘EviMass’ is a comprehensive platform and is expected to enable microbiome researchers not only in mining microbial associations, but also enriching a new research hypothesis. The tool is available free for academic use at

Keywords: microbiome, microbial association, Human Disease, literature mining, Web server

Received: 24 Apr 2019; Accepted: 14 Aug 2019.

Copyright: © 2019 Srivastava, Das Baksi, Bhusan and Mande. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Mr. Kuntal K. Bhusan, Tata Consultancy Services (India), Pune, Maharashtra, India,
Dr. Sharmila Mande, Tata Consultancy Services (India), Pune, Maharashtra, India,