2020
DOI: 10.1371/journal.pcbi.1007800
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MAGIC: A tool for predicting transcription factors and cofactors driving gene sets using ENCODE data

Abstract: Transcriptomic profiling is an immensely powerful hypothesis generating tool. However, accurately predicting the transcription factors (TFs) and cofactors that drive transcriptomic differences between samples is challenging. A number of algorithms draw on ChIP-seq tracks to define TFs and cofactors behind gene changes. These approaches assign TFs and cofactors to genes via a binary designation of 'target', or 'non-target' followed by Fisher Exact Tests to assess enrichment of TFs and cofactors. ENCODE archives… Show more

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Cited by 45 publications
(54 citation statements)
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“…Thus, the implication of these TFs is consistent with the DEG analysis. A number of bioinformatics tools have been developed to infer differentially expressed TFs from gene expression data (Aibar et al, 2017 ; Madsen et al, 2018 ; Roopra, 2020 ). It will be interesting to see if application of these tools to the scRNA-seq data will reveal similar TFs.…”
mentioning
confidence: 99%
“…Thus, the implication of these TFs is consistent with the DEG analysis. A number of bioinformatics tools have been developed to infer differentially expressed TFs from gene expression data (Aibar et al, 2017 ; Madsen et al, 2018 ; Roopra, 2020 ). It will be interesting to see if application of these tools to the scRNA-seq data will reveal similar TFs.…”
mentioning
confidence: 99%
“…Since changes in H3K4me3 do not likely account for Hx-induced gene priming, we used MAGICTRICKS (Roopra, 2019 ) to explore other putative chromatin modifiers that could be associated with Hx-induced gene priming. MAGICTRICKS utilizes a matrix of maximum ChIP-seq scores for every transcription factor at every gene analyzed in the ENCODE database (ENCODE Project Consortium, 2012 ).…”
Section: Resultsmentioning
confidence: 99%
“…Putative transcription factors and cofactors driving gene expression changes were identified using MAGICTRICKS (Roopra, 2019 ). To prepare data for these analyses, we first used the Cuffdiff output to identify genes that were significantly upregulated in Hx LPS relative to Nx LPS (FDR < 5%).…”
Section: Methodsmentioning
confidence: 99%
“…Putative transcription factors and cofactors driving gene expression changes were identified using 142 MAGICTRICKS (40). To prepare data for these analyses, we first used the Cuffdiff output to identify 143 genes that were significantly upregulated in Hx LPS relative to Nx LPS (FDR<5%).…”
Section: Magictricks Analyses 141mentioning
confidence: 99%
“…Since changes in H3K4me3 do not likely account for Hx-induced gene priming, we used MAGICTRICKS 292 (40) to explore other putative chromatin modifiers that could be associated with Hx-induced gene 293 priming. MAGICTRICKS utilizes a matrix of maximum ChIP-seq scores for every transcription factor at 294 every gene analyzed in the ENCODE database (48).…”
Section: Magictricks Reveals Multiple Transcription Factors That Putamentioning
confidence: 99%