ImmCellFie: A user-friendly web-based platform to infer metabolic function from omics data

被引:3
作者
Masson, Helen O. [1 ]
Borland, David [2 ]
Reilly, Jason [2 ]
Telleria, Adrian [2 ]
Shrivastava, Shalki [2 ,8 ]
Watson, Matt [2 ]
Bustillos, Luthfi [2 ]
Li, Zerong [4 ]
Capps, Laura [2 ]
Kellman, Benjamin P. [3 ,4 ]
King, Zachary A. [1 ]
Richelle, Anne [4 ]
Lewis, Nathan E. [1 ,4 ]
Robasky, Kimberly [2 ,5 ,6 ,7 ,9 ]
机构
[1] Univ Calif San Diego, Dept Bioengn, La Jolla, CA 92093 USA
[2] Univ N Carolina, Renaissance Comp Inst, Chapel Hill, NC 27517 USA
[3] Univ Calif San Diego, Bioinformat & Syst Biol Program, La Jolla, CA 92093 USA
[4] Univ Calif San Diego, Dept Pediat, La Jolla, CA 92093 USA
[5] Univ N Carolina, Dept Genet, Chapel H0069ll, Chapel Hill, NC 27514 USA
[6] Univ N Carolina, Sch Informat & Lib Sci, Chapel Hill, NC 27599 USA
[7] Univ N Carolina, Carolina Hlth & Informat Program, Chapel Hill, NC 27599 USA
[8] Lawrence Berkeley Natl Lab, Berkeley, CA USA
[9] Arrakis Therapeut, Waltham, MA 02451 USA
来源
STAR PROTOCOLS | 2023年 / 4卷 / 01期
关键词
RECONSTRUCTION;
D O I
10.1016/j.xpro.2023.102069
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
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 in-corporates 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
引用
收藏
页数:23
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