MALBoost: a web-based application for gene regulatory network analysis in Plasmodium falciparum.

ABSTRACT:

Background

Gene Regulatory Networks (GRN) produce powerful insights into transcriptional regulation in cells. The power of GRNs has been underutilized in malaria research. The Arboreto library was incorporated into a user-friendly web-based application for malaria researchers ( http://malboost.bi.up.ac.za ). This application will assist researchers with gaining an in depth understanding of transcriptomic datasets.

Methods

The web application for MALBoost was built in Python-Flask with Redis and Celery workers for queue submission handling, which execute the Arboreto suite algorithms. A submission of 5-50 regulators and total expression set of 5200 genes is permitted. The program runs in a point-and-click web user interface built using Bootstrap4 templates. Post-analysis subm

SUBMITTER: van Wyk R 

PROVIDER: S-EPMC8278594 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature