02029nas a2200157   4500008004100000245008200041210006900123260000800192490000700200520145900207100002601666700002401692700002301716700002401739856010801763       2019                        eng d00a"EviMass": A literature evidence-based miner for human microbial associations0 aEviMass A literature evidencebased miner for human microbial ass  cSEP0 v103 a<p>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 toward 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 processed 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 https://web.rniapps.net/evimass.</p>
1 aSrivastava, Divyanshu1 aBaksi, Krishanu, D.1 aKuntal, Bhusan, K.1 aMande, Sharmila, S.  uhttps://library.ncl.res.in/content/evimass-literature-evidence-based-miner-human-microbial-associations00772nas a2200217   4500008004100000245010000041210006900141260000900210300001100219490000700230653001800237653002200255653002600277653001500303653001500318100002600333700002400359700002300383700002400406856012400430       2020                        eng d00aEviMass: a literature evidence-based miner for human microbial associations (vol 10, 849, 2019)0 aEviMass a literature evidencebased miner for human microbial ass  cNOV   a6140510 v1110aHuman Disease10aliterature mining10amicrobial association10aMicrobiome10aWeb server1 aSrivastava, Divyanshu1 aBaksi, Krishanu, D.1 aKuntal, Bhusan, K.1 aMande, Sharmila, S.  uhttps://library.ncl.res.in/content/evimass-literature-evidence-based-miner-human-microbial-associations-vol-10-849-2019