학술논문

ImmCellFie: A user-friendly web-based platform to infer metabolic function from omics data
Document Type
article
Source
STAR Protocols, Vol 4, Iss 1, Pp 102069- (2023)
Subject
Bioinformatics
Genomics
Metabolism
Systems Biology
Science (General)
Q1-390
Language
English
ISSN
2666-1667
Abstract
Summary: Understanding cellular metabolism is important across biotechnology and biomedical research and has critical implications in a broad range of normal and pathological conditions. Here, we introduce the user-friendly web-based platform ImmCellFie, which allows the comprehensive analysis of metabolic functions inferred from transcriptomic or proteomic data. We explain how to set up a run using publicly available omics data and how to visualize the results. The ImmCellFie algorithm pushes beyond conventional statistical enrichment and incorporates complex biological mechanisms to quantify cell activity.For complete details on the use and execution of this protocol, please refer to Richelle et al. (2021).1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.