2008
DOI: 10.1186/gb-2008-9-9-r137
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Model-based Analysis of ChIP-Seq (MACS)

Abstract: MACS performs model-based analysis of ChIP-Seq data generated by short read sequencers.

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Cited by 15,257 publications
(13,054 citation statements)
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References 13 publications
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“…This assay permits quantitative comparisons of genome-wide changes in 5-hmC levels between cell lines. Using model-based analysis of ChIP-seq (MACS) 30 , we determined global 5-hmC regions (P valueo10 À 5 , Poisson distribution, false discovery rate (FDR)o0.01; Fig. 6a) in prostate cancer cells.…”
Section: Resultsmentioning
confidence: 99%
“…This assay permits quantitative comparisons of genome-wide changes in 5-hmC levels between cell lines. Using model-based analysis of ChIP-seq (MACS) 30 , we determined global 5-hmC regions (P valueo10 À 5 , Poisson distribution, false discovery rate (FDR)o0.01; Fig. 6a) in prostate cancer cells.…”
Section: Resultsmentioning
confidence: 99%
“…Only unique non-duplicate reads were retained. Peaks, areas where there were significantly more enriched reads mapped in the ChIP sample than the input, were determined using MACS 61 with the parameters of P value 0.00001 and false discovery rate 5%. The Bedtools software 62 was used to determine the genes closest to PBX3-binding peaks and to calculate the distance between these peaks from TSS of their closest genes.…”
Section: Discussionmentioning
confidence: 99%
“…Public anti‐ZEB1 ChIP‐seq data were obtained from GEO (GSM1574278, GSM1010809, GSM803411; ENCODE Project Consortium, 2012). Peaks were called using MACS2 (Zhang et al ., 2008). cisgenome software was used to assign a binding site to the nearest gene within 50 kb of a peak (Ji et al ., 2011).…”
Section: Methodsmentioning
confidence: 99%