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ChIP-sequencing, also known as ChIP-seq, is a method used to analyze protein interactions with DNA. ChIP-seq combines chromatin immunoprecipitation (ChIP) with massively parallel DNA sequencing to identify the binding sites of DNA-associated proteins. It can be used to map global binding sites precisely for any protein of interest.
Suite of tools for assembly, alignment, and analysis of short read next generation sequencing data Unix/Linux, macOS: GPL: BGI: Staden Package: Sequence assembly, editing, and analysis, mainly consisting of gap4, gap5, and spin. Written in C, C++, Fortran and Tcl. Linux, macOS, Windows: BSD: Wellcome Trust Sanger Institute, Medical Research Council
ChIP has also been applied for genome-wide analysis by combining with microarray technology (ChIP-on-chip) or second-generation DNA-sequencing technology (Chip-Sequencing). ChIP can also combine with paired-end tags sequencing in Chromatin Interaction Analysis using Paired End Tag sequencing (ChIA-PET), a technique developed for large-scale, de ...
Introduced in 2007, ChIP sequencing (ChIP-seq) is a technology that uses chromatin immunoprecipitation to crosslink the proteins of interest to the DNA but then instead of using a micro-array, it uses the more accurate, higher throughput method of sequencing to localize interaction points. [13]
Wilbanks and colleagues [3] is a survey of the ChIP-seq peak callers, and Bailey et al. [4] is a description of practical guidelines for peak calling in ChIP-seq data. Peak calling may be conducted on transcriptome/exome as well to RNA epigenome sequencing data from MeRIPseq [ 5 ] or m6Aseq [ 6 ] for detection of post-transcriptional RNA ...
The ChIA-PET method combines ChIP-based methods, [2] and Chromosome conformation capture (3C) based methods, [3] to extend the capabilities of both approaches. ChIP-Sequencing (ChIP-Seq) is a popular method used to identify transciption factor binding sites (TFBS) while 3C has been used to identify long-range chromatin interactions.
Hi-C uses high-throughput sequencing to find the nucleotide sequence of fragments [2] [22] and uses paired end sequencing, which retrieves a short sequence from each end of each ligated fragment. As such, for a given ligated fragment, the two sequences obtained should represent two different restriction fragments that were ligated together in ...
Accurately performs gapped alignment of sequence data obtained from next-generation sequencing machines (specifically of Solexa-Illumina) back to a genome of any size. Includes adaptor trimming, SNP calling and Bisulfite sequence analysis. Yes, also supports Illumina *_int.txt and *_prb.txt files with all 4 quality scores for each base