| Title | NAMData: A Web-application for the Network Analysis of Microbiome Data |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Aguinaldo, Roberto Daniel, Solano, Geoffrey, Pontiveros, Marc Jermaine, Balolong, Marilen Parungao |
| Conference Name | TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON) |
| Keywords | Centrality, community detection, compositionality, Correlation, Data visualization, feature extraction, Knowledge engineering, Metagenomics, Microbiome Data, network analysis, Network analyzers, Network Visualization, normalization, Pipelines, Programming, pubcrawl, Taxa Filtration, Zero Treatment |
| Abstract | Recent projects regarding the exploration of the functions of microbiomes within communities brought about a plethora of new data. That specific field of study is called Metagenomics and one of its more advancing approach is the application of network analysis. The paper introduces NAMData which is a web-application tool for the network analysis of microbiome data. The system handles the compositionality and sparsity nature of microbiome data by applying taxa filtration, normalization, and zero treatment. Furthermore, compositionally aware correlation estimators were used to compute for the correlation between taxa and the system divides the network into the positive and negative correlation network. NAMData aims to capitalize on the unique network features namely network visualization, centrality scores, and community detection. The system enables researchers to include network analysis in their analysis pipelines even without any knowledge of programming. Biological concepts can be integrated with the network findings gathered from the system to either support existing facts or form new insights. |
| DOI | 10.1109/TENCON54134.2021.9707181 |
| Citation Key | aguinaldo_namdata_2021 |
NAMData: A Web-application for the Network Analysis of Microbiome Data