-
Notifications
You must be signed in to change notification settings - Fork 0
Home
WEVOTE-web is a Cloud implementation of WEVOTE framework.
WEVOTE-web is cloud-based framework of the WEVOTE ensemble taxonomic identification method. The framework to improves the usability of WEVOTE algorithm. In addition, it provides an interactive visual analytics tool to ease the interpretation of the classification results. WEVOTE-web application can also be used by researchers as a repository to store their experimental history for further revisions. A complete setup for the project and its dependencies as a web application is available as an Amazon Machine Image (AMI) for a direct deployment on AWS EC2 machine.
-
Asem Alaa, Ahmed A. Metwally. "Cloud-based Solution for Improving Usability and Interactivity of Metagenomic Ensemble Taxonomic Identification Methods", IEEE Biomedical and Health Informatics (2018). [online]
-
Ahmed A. Metwally, Yang Dai, Patricia W. Finn, and David L. Perkins. "WEVOTE: Weighted Voting Taxonomic Identification Method of Microbial Sequences." PloS one 11, no. 9 (2016): e0163527. [online]
A complete setup of the project including the five classification methods (i.e BLASTN, KRAKEN, CLARK, MetaPhlAn, TIPP), is available through Amazon Machine Image (AMI), using a 500 GB EBS storage. The memory budget of the instance is subject to the intended methods to use. For example, if the methods are used, but KRAKEN and CLARK, an instance with memory of 1 GiB. Whereas, incorporating KRAKEN and CLARK would require an instance of 80 GiB memory budget.