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Owing to its digital nature, ChIP-seq has become the standard method for genome-wide ChIP analysis. Using next-generation sequencing platforms (notably the Illumina Genome Analyzer), millions of short sequence reads can be obtained. The densities of recovered ChIP sequence reads along the genome are used to determine the binding sites of the protein ...
Kim, Tae Hoon, Dekker, Job
core +5 more sources
Normalization of ChIP-seq data with control [PDF]
Background ChIP-seq has become an important tool for identifying genome-wide protein-DNA interactions, including transcription factor binding and histone modifications. In ChIP-seq experiments, ChIP samples are usually coupled with their matching control
Liang Kun, Keleş Sündüz
doaj +3 more sources
Much effort has been devoted to understand how chromatin modification regulates development and disease. Despite recent progress, however, it remains difficult to obtain high-quality epigenomic maps using chromatin-immunoprecipitation-coupled deep ...
Wenbin Liu +5 more
doaj +2 more sources
Transcriptomic and ChIP seq data
Transcriptomic and ChIP seq ...
Wicky, Chantal +3 more
openaire +2 more sources
ChIPulate: A comprehensive ChIP-seq simulation pipeline.
ChIP-seq (Chromatin Immunoprecipitation followed by sequencing) is a high-throughput technique to identify genomic regions that are bound in vivo by a particular protein, e.g., a transcription factor (TF).
Vishaka Datta +2 more
doaj +4 more sources
In silico pooling of ChIP-seq control experiments.
As next generation sequencing technologies are becoming more economical, large-scale ChIP-seq studies are enabling the investigation of the roles of transcription factor binding and epigenome on phenotypic variation.
Guannan Sun +5 more
doaj +4 more sources
ChIPseqR: analysis of ChIP-seq experiments [PDF]
The use of high-throughput sequencing in combination with chromatin immunoprecipitation (ChIP-seq) has enabled the study of genome-wide protein binding at high resolution. While the amount of data generated from such experiments is steadily increasing, the methods available for their analysis remain limited. Although several algorithms for the analysis
Peter Humburg +3 more
openaire +5 more sources
De novo ChIP-seq analysis [PDF]
Methods for the analysis of chromatin immunoprecipitation sequencing (ChIP-seq) data start by aligning the short reads to a reference genome. While often successful, they are not appropriate for cases where a reference genome is not available. Here we develop methods for de novo analysis of ChIP-seq data.
He, Xin +5 more
openaire +6 more sources
ChIP-seq Analysis in R (CSAR): An R package for the statistical detection of protein-bound genomic regions [PDF]
Background In vivo detection of protein-bound genomic regions can be achieved by combining chromatin-immunoprecipitation with next-generation sequencing technology (ChIP-seq). The large amount of sequence data produced by this method needs to be analyzed
Muino, J.M. +14 more
core +1 more source

