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  2. Peak calling - Wikipedia

    en.wikipedia.org/wiki/Peak_calling

    When the protein is a transcription factor, the enriched area is its transcription factor binding site (TFBS). Popular software programs include MACS. [2] 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.

  3. MEME suite - Wikipedia

    en.wikipedia.org/wiki/MEME_suite

    Central Motif Enrichment Analysis (CentriMo) is a tool for inferring direct DNA binding from ChIP-seq data. CentriMo is based on the observation that the positional distribution of binding sites matching the direct-binding motif tends to be unimodal, well centered and maximal in the precise center of the ChIP-seq peak regions. CentriMo takes a ...

  4. Gene set enrichment analysis - Wikipedia

    en.wikipedia.org/wiki/Gene_set_enrichment_analysis

    Schematic overview of the modular structure underlying procedures for gene set enrichment analysis. Gene set enrichment analysis (GSEA) (also called functional enrichment analysis or pathway enrichment analysis) is a method to identify classes of genes or proteins that are over-represented in a large set of genes or proteins, and may have an association with different phenotypes (e.g ...

  5. ChIA-PET - Wikipedia

    en.wikipedia.org/wiki/ChIA-PET

    The next step, which is referred to as enrichment, reduces complexity for genome-wide analysis and adds specificity to chromatin interactions bound by pre-determined TFs (transcription factors). The ability of 3C approaches to identify long-range interactions is based on the theory of proximity ligation.

  6. Transcription factor - Wikipedia

    en.wikipedia.org/wiki/Transcription_factor

    Other transcription factors differentially regulate the expression of various genes by binding to enhancer regions of DNA adjacent to regulated genes. These transcription factors are critical to making sure that genes are expressed in the right cell at the right time and in the right amount, depending on the changing requirements of the organism.

  7. Transcriptome - Wikipedia

    en.wikipedia.org/wiki/Transcriptome

    Transcription can also be studied at the level of individual cells by single-cell transcriptomics. Single-cell RNA sequencing (scRNA-seq) is a recently developed technique that allows the analysis of the transcriptome of single cells, including bacteria. [25]

  8. SMiLE-Seq - Wikipedia

    en.wikipedia.org/wiki/SMiLE-Seq

    SMiLE-seq workflow. SMiLE-seq uses a microfluidic device into which transcription factors, which have been transcribed and translated in vitro, are loaded.Transcription factor samples (~0.3 ng) are modified by the addition of an enhanced green fluorescent protein (eGFP) tag and combined with both target double-stranded DNA molecules (~8 pmol) tagged with Cyanine Dye5 (Cy5) and a double ...

  9. Functional genomics - Wikipedia

    en.wikipedia.org/wiki/Functional_genomics

    This system is based on a transcription factor, originally GAL4, [9] whose separate DNA-binding and transcription activation domains are both required in order for the protein to cause transcription of a reporter gene. In a Y2H screen, the "bait" protein is fused to the binding domain of GAL4, and a library of potential "prey" (interacting ...