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  • jbrwn
    replied
    macs does work for histone modifications, but you have to specify --nomodel. also specify --nolambda if you don't have control data.

    they have a workflow in their new publication: http://goo.gl/5HQlO

    Leave a comment:


  • mudshark
    replied
    hi.

    what you mean by "peaks donot match"? match what?
    are you sure your primary/raw data is any good? what do your eyes tell you when you browse the coverage tracks in a genome browser, do you see an expected pattern?

    anyway there are many tools out, none of which has really been tested on a reference dataset that has been independently confirmed with a different technology (afaik). therefore there is no 'best' tool for everybodies dataset.

    i personally would tend to recommend SICER as histone modifications are not necessarily found to have peak-shaped enrichment patterns.

    Leave a comment:


  • anagari
    started a topic ChIP seq packages for histone modification data

    ChIP seq packages for histone modification data

    Hi all,

    Which chip seq peak calling algorithm would you suggest to be the best for histone modification data such as H3k4me3, H3k9me3 etc in terms of usage and accuracy.

    I am trying to use MACS and cis genome. The peaks donot match (even 10%).

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    Multiomics Techniques Advancing Disease Research
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    New and advanced multiomics tools and technologies have opened new avenues of research and markedly enhanced various disciplines such as disease research and precision medicine1. The practice of merging diverse data from various ‘omes increasingly provides a more holistic understanding of biological systems. As Maddison Masaeli, Co-Founder and CEO at Deepcell, aptly noted, “You can't explain biology in its complex form with one modality.”

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