Gene Set Knowledge Discovery with Enrichr

Gene Set Knowledge Discovery with Enrichr

Profiling samples from patients, tissues, and cells with genomics, transcriptomics, epigenomics, proteomics, and metabolomics ultimately produces lists of genes and proteins that need to be further analyzed and integrated in the context of known biology. Enrichr (Chen et al., 2013; Kuleshov et al.,...

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Bibliographic Details
Main Authors: Bailey, A. (Author), Clarke, D.J.B (Author), Evangelista, J.E (Author), Jagodnik, K.M (Author), Jenkins, S.L (Author), Jeon, M. (Author), Kropiwnicki, E. (Author), Kuleshov, M.V (Author), Lachmann, A. (Author), Ma'ayan, A. (Author), Wojciechowicz, M.L (Author), Xie, Z. (Author)
Format: Article
Language:English
Published: Blackwell Publishing Inc. 2021
Subjects:
adult
animal
Animals
article
bioinformatics
biology
Computational Biology
disease
drug discovery
embedding
enrichment analysis
epigenetics
experimental study
gene expression
gene sets
genome-wide association study
genomics
Genomics
human
human tissue
Humans
knowledge discovery
Knowledge Discovery
mammal
metabolomics
nonhuman
phosphoproteomics
protein fingerprinting
RNA sequencing
RNA-Seq
search engine
software
Software
transcriptomics
visualization
web application
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