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Copy file name to clipboardExpand all lines: CHANGELOG.md
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-[[#385](https://github.com/nf-core/chipseq/issues/385)] - Fix `--save_unaligned` description in schema.
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-[[PR #392](https://github.com/nf-core/chipseq/pull/392)] - Adding line numbers to warnings/errors messages in `bin/check_samplesheet.py`.
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-[[#396](https://github.com/nf-core/chipseq/issues/396)] - Check that samplesheet samples IDs do only have alphanumeric characters, dots, dashes or underscores.
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-[[#378](https://github.com/nf-core/chipseq/issues/378)] - Switch from macs2 to macs3.
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### Software dependencies
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Copy file name to clipboardExpand all lines: CITATIONS.md
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> Heinz S, Benner C, Spann N, Bertolino E, Lin YC, Laslo P, Cheng JX, Murre C, Singh H, Glass CK. Simple combinations of lineage-determining transcription factors prime cis-regulatory elements required for macrophage and B cell identities. Mol Cell. 2010 May 28;38(4):576-89. doi: 10.1016/j.molcel.2010.05.004. PubMed PMID: 20513432; PubMed Central PMCID: PMC2898526.
> Zhang Y, Liu T, Meyer CA, Eeckhoute J, Johnson DS, Bernstein BE, Nusbaum C, Myers RM, Brown M, Li W, Liu XS. Model-based analysis of ChIP-Seq (MACS). Genome Biol. 2008;9(9):R137. doi: 10.1186/gb-2008-9-9-r137. Epub 2008 Sep 17. PubMed PMID: 18798982; PubMed Central PMCID: PMC2592715.
Copy file name to clipboardExpand all lines: README.md
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5. Generate gene-body meta-profile from bigWig files ([`deepTools`](https://deeptools.readthedocs.io/en/develop/content/tools/plotProfile.html))
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6. Calculate genome-wide IP enrichment relative to control ([`deepTools`](https://deeptools.readthedocs.io/en/develop/content/tools/plotFingerprint.html))
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7. Calculate strand cross-correlation peak and ChIP-seq quality measures including NSC and RSC ([`phantompeakqualtools`](https://github.com/kundajelab/phantompeakqualtools))
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8. Call broad/narrow peaks ([`MACS2`](https://github.com/macs3-project/MACS))
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8. Call broad/narrow peaks ([`MACS3`](https://github.com/macs3-project/MACS))
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9. Annotate peaks relative to gene features ([`HOMER`](http://homer.ucsd.edu/homer/download.html))
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10. Create consensus peakset across all samples and create tabular file to aid in the filtering of the data ([`BEDTools`](https://github.com/arq5x/bedtools2/))
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11. Count reads in consensus peaks ([`featureCounts`](http://bioinf.wehi.edu.au/featureCounts/))
Copy file name to clipboardExpand all lines: bin/plot_macs3_qc.r
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option_list<-list(make_option(c("-i", "--peak_files"), type="character", default=NULL, help="Comma-separated list of peak files.", metavar="path"),
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make_option(c("-s", "--sample_ids"), type="character", default=NULL, help="Comma-separated list of sample ids associated with peak files. Must be unique and in same order as peaks files input.", metavar="string"),
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