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Fix markdownlint
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docs/output.md

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@@ -191,8 +191,8 @@ The library-level alignments associated with the same sample are merged and subs
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*Description*:
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In order to perform the differential binding analysis we need to be able to carry out the read quantification for the same intervals across **all** of the samples in the experiment. To this end, the individual peak-sets called per sample have to be merged together in order to create a consensus set of peaks.
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Using the consensus peaks it is possible to assess the degree of overlap between the peaks from a set of samples e.g. *Which consensus peaks contain peaks that are common/unique to a given set of samples?*. This may be useful for downstream filtering of peaks based on whether they are called in multiple replicates/conditions. Please note that it is possible for a consensus peak to contain multiple peaks from the same sample. Unfortunately, this is sample-dependent but the files generated by the pipeline do have columns that report such instances and allow you to factor them into any further analysis.
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Using the consensus peaks it is possible to assess the degree of overlap between the peaks from a set of samples e.g. *Which consensus peaks contain peaks that are common/unique to a given set of samples?*. This may be useful for downstream filtering of peaks based on whether they are called in multiple replicates/conditions. Please note that it is possible for a consensus peak to contain multiple peaks from the same sample. Unfortunately, this is sample-dependent but the files generated by the pipeline do have columns that report such instances and allow you to factor them into any further analysis.
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By default, the peak-sets are not filtered, therefore, the consensus peaks will be generated across the union set of peaks from all samples. However, you can increment the `--min_reps_consensus` parameter appropriately if you are confident you have good reproducibility amongst your replicates to create a "reproducible" set of consensus of peaks. In future iterations of the pipeline more formal analyses such as [IDR](https://projecteuclid.org/euclid.aoas/1318514284) may be implemented to obtain reproducible and high confidence peak-sets with which to perform this sort of analysis.
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![R - UpSetR peak intersection plot](images/r_upsetr_intersect_plot.png)

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