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  2. Carlson curve - Wikipedia

    en.wikipedia.org/wiki/Carlson_Curve

    The term was coined by The Economist [3] and is named after author Rob Carlson. [1]Carlson curves illustrate the rapid (in some cases above exponential growth) decreases in cost, and increases in performance, of a variety of technologies, including DNA sequencing, DNA synthesis and a range of physical and computational tools used in protein production and in determining protein structures.

  3. ChIP sequencing - Wikipedia

    en.wikipedia.org/wiki/ChIP_sequencing

    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.

  4. Chromatin immunoprecipitation - Wikipedia

    en.wikipedia.org/wiki/Chromatin_immunoprecipitation

    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

  5. Peak calling - Wikipedia

    en.wikipedia.org/wiki/Peak_calling

    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 ...

  6. List of RNA-Seq bioinformatics tools - Wikipedia

    en.wikipedia.org/wiki/List_of_RNA-Seq...

    GeneProf Freely accessible, easy to use analysis pipelines for RNA-seq and ChIP-seq experiments. GREIN is an interactive web platform for re-processing and re-analyzing GEO RNA-seq data. GREIN is powered by the back-end computational pipeline for uniform processing of RNA-seq data and the large number (>5,800) of already processed data sets.

  7. But the cost of the plant soon ballooned by over $8 billion from initial forecasts, as inflation drove up construction and material costs, Reuters reported last March.

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  9. ChIP-on-chip - Wikipedia

    en.wikipedia.org/wiki/ChIP-on-chip

    The cost of the DNA microarrays is often a limiting factor to whether a laboratory should proceed with a ChIP-on-chip experiment. Another limitation is the size of DNA fragments that can be achieved. Most ChIP-on-chip protocols utilize sonication as a method of breaking up DNA into small pieces.

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