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Model-based Analysis of ChIP-Seq (MACS)

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TLDR
This work presents Model-based Analysis of ChIP-Seq data, MACS, which analyzes data generated by short read sequencers such as Solexa's Genome Analyzer, and uses a dynamic Poisson distribution to effectively capture local biases in the genome, allowing for more robust predictions.
Abstract
We present Model-based Analysis of ChIP-Seq data, MACS, which analyzes data generated by short read sequencers such as Solexa's Genome Analyzer. MACS empirically models the shift size of ChIP-Seq tags, and uses it to improve the spatial resolution of predicted binding sites. MACS also uses a dynamic Poisson distribution to effectively capture local biases in the genome, allowing for more robust predictions. MACS compares favorably to existing ChIP-Seq peak-finding algorithms, and is freely available.

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m 6 A modulates neuronal functions and sex determination in Drosophila

TL;DR: This work carries out a comprehensive molecular and physiological characterization of the individual components of the methyl transferase complex, as well as of the YTH domain-containing nuclear reader protein in Drosophila melanogaster, and identifies the member of the split ends protein family, Spenito, as a novel bona fide subunit of themethyltransferase complex.
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Highly expressed loci are vulnerable to misleading ChIP localization of multiple unrelated proteins

TL;DR: An artifact in ChIP is discovered that leads to reproducible but biologically meaningless enrichment of proteins at highly expressed genes, caused by high levels of polymerase II and polymerase III transcription, which calls into question reports of unexpected localization of transcription factors, repressors, and cytosolic proteins to highly expression genes.
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Atypical Teratoid/Rhabdoid Tumors Are Comprised of Three Epigenetic Subgroups with Distinct Enhancer Landscapes

TL;DR: Three distinct molecular subgroups of ATRTs, associated with differences in demographics, tumor location, and type of SMARCB1 alterations, were identified, leading to the identification of subgroup-specific regulatory networks and potential therapeutic targets.
Journal ArticleDOI

Target analysis by integration of transcriptome and ChIP-seq data with BETA

TL;DR: BETA is a software package that integrates ChIP-seq of TFs or chromatin regulators with differential gene expression data to infer direct target genes and identifies the motif of the factor and its collaborators, which might modulate the factor's activating or repressive function.
References
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Journal ArticleDOI

High-resolution profiling of histone methylations in the human genome.

TL;DR: High-resolution maps for the genome-wide distribution of 20 histone lysine and arginine methylations as well as histone variant H2A.Z, RNA polymerase II, and the insulator binding protein CTCF across the human genome using the Solexa 1G sequencing technology are generated.
Journal ArticleDOI

Genome-Wide Mapping of in Vivo Protein-DNA Interactions

TL;DR: A large-scale chromatin immunoprecipitation assay based on direct ultrahigh-throughput DNA sequencing was developed, which was then used to map in vivo binding of the neuron-restrictive silencer factor (NRSF; also known as REST) to 1946 locations in the human genome.
PatentDOI

Genome-wide location and function of dna binding proteins

TL;DR: In this paper, a method for identifying a set of genes where cell cycle regulator binding correlates with gene expression and identifying genomic targets of cell cycle transcription activators in living cells is also encompassed.
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