High-throughput sequencing technologies are increasingly used in molecular cell biology to assess genome-wide chromatin dynamics of proteins bound to DNA, through techniques such as chromatin immunoprecipitation sequencing (ChIP-seq). These techniques often rely on an analysis strategy based on identifying genomic regions with increased sequencing signal to infer the binding location or chemical modifications of proteins bound to DNA. Peak calling within individual samples has been well described, however relatively little attention has been devoted to the merging of replicate samples, and the cross-comparison of many samples. Here, we present a generalized strategy to enable the unification of ChIP-seq datasets, enabling enhanced cross-comparison of binding patterns. The strategy works by merging peak data between different (even unrelated) samples, and then using a local background to recalculate enrichment. This strategy redefines the peaks within each experiment, allowing for more accurate cross-comparison of datasets.DNA methylation plays an important role in the regulation of gene expression as one of the epigenetic modifications. The bisulfite sequencing is widely used to determine the patterns of genomic methylation as a gold standard technology allowing conversion of the unmethylated cytosines to uracils that are represented as Ts in the sequencing reads. https://www.selleckchem.com/products/vcmmae.html This chapter introduces the methodology for analyzing bisulfite sequencing data using various bioinformatics tools.Genome-wide profiling of DNA modifications has advanced our understanding of epigenetics in mammalian biology. Whereas several different methods for profiling DNA modifications have been developed over the last decade, DNA-immunoprecipitation coupled with high-throughput sequencing (DIP-seq) has proven a particularly adaptable and cost-effective approach. DIP-seq was especially valuable in initial studies of the more recently discovered DNA modifications, 5-hydroxymethylcytosine, 5-formylcytosine, and 5-carboxylcytosine. As an enrichment-based profiling method, analysis of DIP-seq data poses several unique, and often unappreciated bioinformatics challenges, which if unmet, can profoundly affect the results and conclusions drawn from the data. Here, we outline key considerations in both the design of DIP-seq assays and analysis of DIP-seq data to ensure the accuracy and reproducibility of DIP-seq based studies.CRISPR/cas9 is a popular tool, widely used today for genome editing. However, the modular organization of this tool allows it to be used not only for DNA modifications but also for introducing epigenetic modifications both in DNA (methylation/demethylation) and in histones (acetylation/deacetylation). In these notes we will concentrate on the ways to adapt the CRISPR/cas9 system for epigenetic DNA modification of specific regions of interest. The modular organization represents a universal principal, that allows to create infinite number of functions with a limited number of tools. CRISPR/cas9, in which each subunit can be adapted for a particular task, is an excellent example of this rule. Made of two main subunits, it can be modified for targeted delivery of foreign activity (effector, an epigenetic enzyme in our case) to a selected part of the genome. In doing this the CRISPR/cas9 system represents a unique method that allows the introduction of both genomic and epigenetic modifications. This chapter gives a detailed review of how to prepare DNA for the fully functional CRISPR/cas9 system, able to introduce required modifications in the region of interest. We will discuss specific requirements for each structural component of the system as well as for auxiliary elements (modules), which are needed to ensure efficient expression of the elements of the system within the cell and the needs of selection and visualization.Transcription-activator like effectors (TALEs) are DNA-binding proteins used for genome targeting. TALEs contain a central domain of concatenated repeats, of which each selectively recognizes one nucleobase at the DNA major groove. Based on this simple and predictable interaction with little context dependence, TALEs offer programmable targeting of user-defined DNA sequences. Since many epigenetic DNA modifications protrude into the DNA major groove, natural and engineered TALE repeats can provide "epigenetic" selectivity, making TALEs a flexible platform to design probes for the analysis of epigenetic DNA modifications. Here, we describe guidelines for the design of TALE proteins with selectivity for epigenetic cytosine 5-modifications, the validation of their interaction with modified DNA nucleobases, and their employment in affinity enrichment assays. These techniques enable quantification of epigenetic nucleobases in user-defined genomic DNA sequences with nucleotide and strand resolution.Use of methylation-specific antibodies with methylated-DNA-immunoprecipitation sequencing allows for the mapping of methylated DNA, such as N6-methyldeoxyadenosine (6mA). However, such mapping methods only detect methylated DNA at low resolution. Here, we describe 6mA Cross-linking Exonuclease sequencing (6mACE-seq), which utilizes 6mA-specific antibodies cross-linked to 6mA sites to protect 6mA-DNA fragments from subsequent exonuclease treatment. This allowed 6mACE-seq to map human-genome-wide 6mA at single-nucleotide resolution.Here, we provide a detailed protocol for our previously published technique, APOBEC-Coupled Epigenetic Sequencing (ACE-Seq), which localizes 5-hydroxymethylcytosine at single nucleotide resolution using nanogram quantities of input genomic DNA. In addition to describing suggested troubleshooting workflows, these methods include four important updates which should facilitate widespread implementation of the technique (1) additionally optimized reaction conditions; (2) redesigned quality controls which can be performed prior to resource-consumptive deep sequencing; (3) confirmation that the less active, uncleaved APOBEC3A (A3A) fusion protein, which is easier to purify, can be used to perform ACE-Seq ; and (4) an example bioinformatic pipeline with suggested filtering strategies. Finally, we have provided a supplementary video which gives a narrated overview of the entire method and focuses on how best to perform the snap cool and A3A deamination steps central to successful execution of the method.