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Journal ArticleDOI

Genome-wide profiles of STAT1 DNA association using chromatin immunoprecipitation and massively parallel sequencing

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TLDR
ChIP-seq identified 41,582 and 11,004 putative STAT1-binding regions in stimulated and unstimulated cells, respectively, and found 24 loci known to contain STAT1 interferon-responsive binding sites, including 24 that were enriched in sequences similar to known STAT1 binding motifs.
Abstract
We developed a method, ChIP-sequencing (ChIP-seq), combining chromatin immunoprecipitation (ChIP) and massively parallel sequencing to identify mammalian DNA sequences bound by transcription factors in vivo. We used ChIP-seq to map STAT1 targets in interferon-γ (IFN-γ)–stimulated and unstimulated human HeLa S3 cells, and compared the method's performance to ChIP-PCR and to ChIP-chip for four chromosomes. By ChIP-seq, using 15.1 and 12.9 million uniquely mapped sequence reads, and an estimated false discovery rate of less than 0.001, we identified 41,582 and 11,004 putative STAT1-binding regions in stimulated and unstimulated cells, respectively. Of the 34 loci known to contain STAT1 interferon-responsive binding sites, ChIP-seq found 24 (71%). ChIP-seq targets were enriched in sequences similar to known STAT1 binding motifs. Comparisons with two ChIP-PCR data sets suggested that ChIP-seq sensitivity was between 70% and 92% and specificity was at least 95%.

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Citations
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Journal ArticleDOI

Differential expression analysis for sequence count data.

Simon Anders, +1 more
- 27 Oct 2010 - 
TL;DR: A method based on the negative binomial distribution, with variance and mean linked by local regression, is proposed and an implementation, DESeq, as an R/Bioconductor package is presented.
Journal ArticleDOI

Model-based Analysis of ChIP-Seq (MACS)

TL;DR: 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.
Journal ArticleDOI

Next-generation DNA sequencing.

TL;DR: Next-generation DNA sequencing has the potential to dramatically accelerate biological and biomedical research, by enabling the comprehensive analysis of genomes, transcriptomes and interactomes to become inexpensive, routine and widespread, rather than requiring significant production-scale efforts.
Journal ArticleDOI

Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences

TL;DR: Galaxy Pages are interactive, web-based documents that provide users with a medium to communicate a complete computational analysis and provide support for capturing the context and intent of computational methods.
Journal ArticleDOI

Mapping short DNA sequencing reads and calling variants using mapping quality scores

TL;DR: This work describes the software MAQ, software that can build assemblies by mapping shotgun short reads to a reference genome, using quality scores to derive genotype calls of the consensus sequence of a diploid genome, e.g., from a human sample.
References
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Journal ArticleDOI

The Human Genome Browser at UCSC

TL;DR: A mature web tool for rapid and reliable display of any requested portion of the genome at any scale, together with several dozen aligned annotation tracks, is provided at http://genome.ucsc.edu.
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Tandem repeats finder: a program to analyze DNA sequences

TL;DR: A new algorithm for finding tandem repeats which works without the need to specify either the pattern or pattern size is presented and its ability to detect tandem repeats that have undergone extensive mutational change is demonstrated.
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Evolutionarily conserved elements in vertebrate, insect, worm, and yeast genomes

TL;DR: A comprehensive search for conserved elements in vertebrate genomes is conducted, using genome-wide multiple alignments of five vertebrate species (human, mouse, rat, chicken, and Fugu rubripes), using a two-state phylogenetic hidden Markov model (phylo-HMM).
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Interferon-γ: an overview of signals, mechanisms and functions

TL;DR: The current understanding of IFN‐γ ligand, receptor, ignal transduction, and cellular effects with a focus on macrophage responses and to a lesser extent, responses from other cell types that influence macrophages function during infection are reviewed.
Journal ArticleDOI

Distinct and predictive chromatin signatures of transcriptional promoters and enhancers in the human genome.

TL;DR: Insight is given into the connections between chromatin modifications and transcriptional regulatory activity and a novel functional enhancer for the carnitine transporter SLC22A5 (OCTN2) is uncovered, providing a new tool for the functional annotation of the human genome.
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