Package: SparseSignatures 2.23.0

Luca De Sano

SparseSignatures: SparseSignatures

Point mutations occurring in a genome can be divided into 96 categories based on the base being mutated, the base it is mutated into and its two flanking bases. Therefore, for any patient, it is possible to represent all the point mutations occurring in that patient's tumor as a vector of length 96, where each element represents the count of mutations for a given category in the patient. A mutational signature represents the pattern of mutations produced by a mutagen or mutagenic process inside the cell. Each signature can also be represented by a vector of length 96, where each element represents the probability that this particular mutagenic process generates a mutation of the 96 above mentioned categories. In this R package, we provide a set of functions to extract and visualize the mutational signatures that best explain the mutation counts of a large number of patients.

Authors:Daniele Ramazzotti [aut], Avantika Lal [aut], Keli Liu [ctb], Luca De Sano [cre, aut], Robert Tibshirani [ctb], Arend Sidow [aut]

SparseSignatures_2.23.0.tar.gz
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manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
SparseSignatures/json (API)

# Install 'SparseSignatures' in R:
install.packages('SparseSignatures', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/danro9685/sparsesignatures/issues

Datasets:
  • background - Germline replication error
  • background2 - COSMIC replication error
  • cv_example - Example of results obtained with the function nmf.LassoCV on the counts input from Nik-Zainal, Serena, et al. (2016).
  • imported_data - Example of imported data from Nik-Zainal, Serena, et al. (2016).
  • lambda_range_example - Example of results obtained with the function lambdaRangeBetaEvaluation on the counts input from Nik-Zainal, Serena, et al. (2016).
  • mutation_categories - Trinucleotides mutation categories
  • nmf_LassoK_example - Example of results obtained with the function nmf.LassoK on the counts input from Nik-Zainal, Serena, et al. (2016).
  • patients - Point mutations for 560 breast tumors
  • ssm560_reduced - A reduced version of the point mutations for 560 breast tumors in the format compatible with the import function
  • starting_betas_example - Example of results obtained with the function starting.betas.estimation on the counts input from Nik-Zainal, Serena, et al. (2016).

On BioConductor:SparseSignatures-2.23.0(bioc 3.24)SparseSignatures-2.22.0(bioc 3.23)

biomedicalinformaticssomaticmutation

6.63 score 11 stars 13 scripts 3 mentions 12 exports 89 dependencies

Last updated from:888f9fb0ca. Checks:1 WARNING, 8 OK, 1 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksWARNING266
linux-devel-x86_64OK559
source / vignettesOK483
linux-release-x86_64OK657
macos-release-arm64OK628
macos-oldrel-arm64OK524
windows-develOK491
windows-releaseOK540
windows-oldrelOK561
wasm-releaseFAIL243

Exports:import.trinucleotides.countslambdaRangeAlphaEvaluationlambdaRangeBetaEvaluationnmfLassonmfLassoBootstrapnmfLassoCVpatients.plotsigAssignmentCVsigAssignmentEvaluationsigAssignmentLassosignatures.plotstartingBetaEstimation

Dependencies:abindaskpassBHBiobaseBiocBaseUtilsBiocGenericsBiocIOBiocManagerBiocParallelBiostringsbitopsBSgenomecigarillocliclustercodetoolscolorspacecpp11crayoncurldata.tableDelayedArraydigestdoParallelfarverforeachformatRfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomicAlignmentsGenomicRangesggplot2gluegridBasegridExtragtablehttrIRangesisobanditeratorsjsonlitelabelinglambda.rlatticelifecyclemagrittrMatrixMatrixGenericsmatrixStatsmimeNMFnnlassonnlsopensslplyrR6RColorBrewerRcppRCurlregistryreshape2restfulrRhpcBLASctlRhtslibrjsonrlangrngtoolsRsamtoolsrtracklayerS4ArraysS4VectorsS7scalesSeqinfosnowSparseArraystringistringrSummarizedExperimentsysUCSC.utilsvctrsviridisLitewithrXMLXVectoryaml

Introduction
Changelog | Algorithms and useful links

Last update: 2023-04-10
Started: 2023-04-10

Using the package

Last update: 2023-04-10
Started: 2023-04-10