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Merge pull request #136 from charles-plessy/prepare_2.16.0
Prepare the 2.16.0 release.
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DESCRIPTION

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Package: CAGEr
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Title: Analysis of CAGE (Cap Analysis of Gene Expression) sequencing data for precise mapping of transcription start sites and promoterome mining
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Version: 2.15.1
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Date: 2025-06-22
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Version: 2.15.2
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Date: 2025-10-10
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Authors@R:
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c( person("Vanja", "Haberle", email = "vanja.haberle@gmail.com", role = "aut"),
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person("Charles", "Plessy", email = "charles.plessy@oist.jp", role = "cre"),
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person("Damir", "Baranasic", email = "damir.baranasic@lms.mrc.ac.uk", role = "ctb"),
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person("Katalin", "Ferenc", email = "k.t.ferenc@ncmbm.uio.no", role = "ctb"),
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person("Sarvesh", "Nikumbh", email = "s.nikumbh@lms.mrc.ac.uk", role = "ctb")
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)
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Imports:
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GenomicAlignments (>= 1.45.1),
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GenomicFeatures (>= 1.61.4),
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GenomicRanges (>= 1.61.1),
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ggplot2 (>= 2.2.0),
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ggplot2 (>= 4.0.0),
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gtools,
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IRanges (>= 2.18.0),
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KernSmooth,

NEWS.md

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# Changes in version 2.16.0 (29/10/2025)
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NEW FEATURES
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- Pass normalised expression values to `quickEnhancers()`. Closes #132.
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- New `correlationMatrix()` function to compute correlation matrix without
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plotting it. Closes #129.
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- Save power law alpha value in the `reference.slope` element of the `meta`
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slot of the _ggplot2_ object produced by `plotReverseCumulatives()`.
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- Support for importing CTSS data from bigWig files.
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BUG FIXES
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- Stop passing _StitchedGPos_ to `quickEnhancesr()`. Closes #133.
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- Migrate from _GenomeInfoDb_ to _Seqinfo_ where needed.
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# No changes in version 2.14.0 (16/04/2025)
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# Changes in version 2.12.0 (30/10/2024)
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BACKWARDS-INCOMPATIBLE CHANGES

R/ExportMethods.R

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#' @returns A [`ggplot2::ggplot`] object containing the plots. The plot can
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#' be further modified to change its title or axis labels (see
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#' [`ggplot2::labs`]). The legend can be removed with
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#' [`ggplot2::guides`]`(col=FALSE)`.
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#' [`ggplot2::guides`]`(col=FALSE)`. The alpha parameter of the power law is
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#' saved in the `reference.slope` element of the `meta` slot of the object.
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#'
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#' @references Balwierz _et al_. (2009) Methods for analyzing deep sequencing
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#' expression data: constructing the human and mouse promoterome with deepCAGE data,

man/CAGEr-package.Rd

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man/plotReverseCumulatives.Rd

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