Science Score: 41.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    Found codemeta.json file
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Last synced: 10 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: CiaranOMara
  • License: mit
  • Language: Julia
  • Default Branch: develop
  • Size: 185 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
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Created about 3 years ago · Last pushed almost 3 years ago
Metadata Files
Readme License Citation

README.md

CountMatrices.jl

Stable Dev Build Status Coverage PkgEval

The CountMatrices package handles the gathering and splicing of metadata into a count matrix.

Example workflow:

```julia using CountMatrices

using FileIO using GenomicFeatures # v3 using ColorSchemes

Define GenomicIntervals.

intervals = [ GenomicPosition("test1", 1, 1), GenomicPosition("test2", 2, 2), GenomicPosition("test3", 1, 3), GenomicPosition("test3", 3, 3), ]

Define various genomic windows.

windows = [ GenomicWindowCentred(GenomicPosition("test1", 2), Vector{eltype(intervals)}(), 1), GenomicWindowCentred{1}(GenomicPosition("test2", 2), Vector{eltype(intervals)}()), GenomicWindowCentred{1, Vector{eltype(intervals)}}(GenomicPosition("test3", 2)), ]

Collect intervals overlapping windows.

for (window, interval) in eachoverlap(windows, intervals) push!(window, interval) end

Sort windows to place the most significant at the top of the data matrix.

sort!(windows; by=window->sum(GenomicFeatures.volume, GenomicFeatures.metadata(window)), rev = true)

Splice windows into count matrix.

M = CountMatrix(windows)

Sort windows to place the most significant at the top of the data matrix.

M.m .= sortslices(M.m, by = sum, dims = 2, rev = true)

Get RGBA matrix.

path, io, c = draw(M; palette = ColorSchemes.balance, rangescale = :extrema, scale = log10)

Save colour matrix to file using FileIO.

save("heatmap.png", c) ```

Owner

  • Name: Ciarán O'Mara
  • Login: CiaranOMara
  • Kind: user

Citation (CITATION.bib)

@misc{CountMatrices.jl,
	author  = {Ciarán O'Mara <Ciaran.OMara@utas.edu.au> and contributors},
	title   = {CountMatrices.jl},
	url     = {https://github.com/CiaranOMara/CountMatrices.jl},
	version = {v0.1.0},
	year    = {2023},
	month   = {4}
}

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Dependencies

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