MACE specifications

Information


Unique identifier OMICS_00520
Name MACE
Alternative name Model based Analysis of ChIP-exo
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Computer skills Advanced
Stability Stable
Maintained Yes

Versioning


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Publication for Model based Analysis of ChIP-exo

MACE citation

library_books

Motif oriented high resolution analysis of ChIP seq data reveals the topological order of CTCF and cohesin proteins on DNA

2016
BMC Genomics
PMCID: 4986361
PMID: 27526722
DOI: 10.1186/s12864-016-2940-7

[…] eins with near-single-nucleotide accuracy, we used publicly available HeLa DNase-seq and ChIP-exo data (SRX100899, SRX098243).The single-nucleotide resolution border peak detection was executed with “model based analysis of ChIP-exo” (MACE) [].The DNase-seq bam files were downloaded directly from the ENCODE database []. The raw sequence reads were then aligned to the hg19 human genome. The accurat […]

MACE institution(s)
Division of Biomedical Statistics and Informatics, Mayo Clinic, Chinahester, MN, USA; Division of Biostatistics, Dan L Duncan Cancer Center and Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA; School of Life Science and Technology, Tongji University, Shanghai, China; Division of Biomedical Statistics and Informatics, Mayo Clinic, Chinahester, MN, USA; Genetics and Genome Biology Program, SickKids Research Institute, Toronto, ON, Canada; Division of Biostatistics, Dan L Duncan Cancer Center and Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA; Department of Biochemistry and Molecular Biology, Mayo Clinic, MN, USA; Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada; Division of Biomedical Statistics and Informatics, Mayo Clinic, Chinahester, MN, USA; Division of Biostatistics, Dan L Duncan Cancer Center and Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA

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