Package: single 1.9.0
single: Accurate consensus sequence from nanopore reads of a gene library
Accurate consensus sequence from nanopore reads of a DNA gene library. SINGLe corrects for systematic errors in nanopore sequencing reads of gene libraries and it retrieves true consensus sequences of variants identified by a barcode, needing only a few reads per variant. More information in preprint doi: https://doi.org/10.1101/2020.03.25.007146.
Authors:
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single.pdf |single.html✨
single/json (API)
# Install 'single' in R: |
install.packages('single', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
- ascii_v - ASCII code
- bases - Bases
- mutation_rate - Mutation_rate
On BioConductor:single-1.9.0(bioc 3.20)single-1.7.0(bioc 3.19)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 months agofrom:e9ba58a6f5
Exports:evaluate_fitsfit_logregrglm.predict.list_mismatchesp_prior_errorsp_prior_mutationspileup_by_QUALsingle_consensus_byBarcodesingle_evaluatesingle_trainweighted_consensus
Dependencies:abindaskpassBHBiobaseBiocGenericsBiocParallelBiostringsbitopsclicodetoolscpp11crayoncurlDelayedArraydplyrfansiformatRfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicAlignmentsGenomicRangesgluehttrIRangesjsonlitelambda.rlatticelifecyclemagrittrMatrixMatrixGenericsmatrixStatsmimeopensslpillarpkgconfigplyrpurrrR6Rcppreshape2RhtslibrlangRsamtoolsS4ArraysS4VectorssnowSparseArraystringistringrSummarizedExperimentsystibbletidyrtidyselectUCSC.utilsutf8vctrswithrXVectorzlibbioc
Readme and manuals
Help Manual
Help page | Topics |
---|---|
ASCII code | ascii_v |
Bases | bases |
Evaluate SINGLE fits | evaluate_fits |
Fit SINGLE's logistic regression | fit_logregr |
Computes prior probability of mutations | |
Lists mismatches between two DNAstrings | list_mismatches |
mutation_rate | mutation_rate |
Computes prior probability of errors | p_prior_errors |
Computes prior probability of mutations | p_prior_mutations |
Pileup by QUAL | pileup_by_QUAL |
Compute SINGLE consensus | single_consensus_byBarcode |
Evaluate SINGLE model | single_evaluate |
Train SINGLE model | single_train |
Compute consensus sequence | weighted_consensus |