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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.
The cost and accessibility of ChIP-seq is a major disadvantage, which has led to the more predominant use of ChIP-chip in laboratories across the world. [2] This photo compares the efficacy of the two experimental techniques, ChIP-seq and ChIP-chip. Table 1 Advantages and disadvantages of NChIP and XChIP
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
a Wiki-based database for transcription factor-binding data generated by the ENCODE consortium. database: website [8] hmChIP a database and web server for exploring publicly available human and mouse ChIP-seq and ChIP-chip data. database: website [9] HOCOMOCO: a comprehensive collection of human and mouse transcription factor binding sites ...
Single-cell ChIP-seq is extremely challenging due to background noise caused by nonspecific antibody pull-down, [1] and only one study so far has performed it successfully. This study used a droplet-based microfluidics approach, and the low coverage required thousands of cells to be sequenced in order to assess cellular heterogeneity.
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 ...
Different post-processing of the raw data is required depending on the technology used to identify the methylated sequences. This is analogous to data generated using ChIP-chip and ChIP-seq. Workflow overview of the MeDIP procedure. MeDIP procedure is followed by array-hybridization (A) or high-throughput/next generation sequencing (B)