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

6.55 score 11 stars 18 scripts 661 downloads 3 mentions 12 exports 81 dependencies

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

TargetResultTimeFilesSyslog
bioc-checksWARNING204
linux-develOK502
source / vignettesOK461
linux-releaseOK487
macos-releaseOK514
macos-oldrelOK517
windows-develOK438
windows-releaseOK399
windows-oldrelOK440
wasm-releaseFAIL174

Exports:import.trinucleotides.countslambdaRangeAlphaEvaluationlambdaRangeBetaEvaluationnmfLassonmfLassoBootstrapnmfLassoCVpatients.plotsigAssignmentCVsigAssignmentEvaluationsigAssignmentLassosignatures.plotstartingBetaEstimation

Dependencies:askpassBHBiobaseBiocBaseUtilsBiocGenericsBiocIOBiocManagerBiocParallelBiostringsbitopsBSgenomecigarillocliclustercodetoolscolorspacecpp11crayoncurldata.tabledigestdoParallelfarverforeachformatRfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomicAlignmentsGenomicRangesggplot2gluegridBasegridExtragtablehttrIRangesisobanditeratorsjsonlitelabelinglambda.rlifecyclemagrittrmatrixStatsmimeNMFnnlassonnlsopensslplyrR6RColorBrewerRcppRCurlregistryreshape2restfulrRhpcBLASctlRhtslibrjsonrlangrngtoolsRsamtoolsrtracklayerS4VectorsS7scalesSeqinfosnowstringistringrsysUCSC.utilsvctrsviridisLitewithrXMLXVectoryaml

Introduction
Changelog | Algorithms and useful links
Rendered fromv1_introduction.rmdusingknitr::rmarkdown

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

Using the package
Rendered fromv2_using_the_package.rmdusingknitr::rmarkdown

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