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**tcR**: Advanced Data Analysis of Immune Receptor Repertoires**gc.content**: GC-content of a nucleotide sequences.

# GC-content of a nucleotide sequences.

### Description

Compute the GC-content (proportion of G-C nucleotide in a sequence).

### Usage

1 | ```
gc.content(.nucseq)
``` |

### Arguments

`.nucseq` |
Character vector of nucletoide sequences. |

### Value

Numeric vector of `length(.nucseq)`

.

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- AA_TABLE: Tables with genetic code.
- apply.symm: Apply function to every pair of data frames from a list.
- assymetry: Normalised log assymetry.
- barcodes.to.reads: Rearrange columns with counts for clonesets.
- beta.prob: List with assembling probabilities of beta chain TCRs.
- bootstrap.tcr: Bootstrap for data frames in package tcR.
- check.distribution: Check for adequaty of distrubution.
- clonal.space.homeostasis: Clonal space homeostasis.
- cloneset.stats: MiTCR data frame basic statistics.
- codon.variants: Functions for working with aminoacid sequences.
- column.summary: Columns statistics.
- contamination.stats: Contamination filtering.
- convergence.index: Compute convergence characteristics of repertoires.
- cosine.sharing: Shared repertoire analysis.
- cosine.similarity: Set and vector similarity measures.
- entropy: Information measures.
- entropy.seg: Repertoires' analysis using information measures applied to...
- find.clonotypes: Find target clonotypes and get columns' value corresponded to...
- find.similar.sequences: Find similar sequences.
- fix.alleles: Fix alleles / genes by removing allele information /...
- gc.content: GC-content of a nucleotide sequences.
- generate.kmers: Generate k-mers.
- generate.tcr: Generate random nucleotide TCR sequences.
- geneUsage: Gene usage.
- get.all.substrings: Get all substrings for the given sequence.
- get.deletions.alpha: Compute the number of deletions in MiTCR data frames.
- get.inframes: In-frame / out-of-frame sequences filter.
- get.kmers: Get kmers from sequences.
- gibbs.sampler: Gibbs Sampler.
- group.clonotypes: Get all unique clonotypes.
- has.class: Check if a given object has a given class.
- intersectClonesets: Intersection between sets of sequences or any elements.
- inverse.simpson: Distribution evaluation.
- kmer.profile: Profile of sequences of equal length.
- kmer.table: Make and manage the table of the most frequent k-mers.
- loglikelihood: Log-likelihood.
- matrixdiagcopy: Copy the up-triangle matrix values to low-triangle.
- matrixSubgroups: Get all values from the matrix corresponding to specific...
- mutated.neighbours: Get vertex neighbours.
- mutation.network: Make mutation network for the given repertoire.
- ozScore: Overlap Z-score.
- parse.cloneset: Parse input table files with the immune receptor repertoire...
- parse.folder: Parse input table files with immune receptor repertoire data.
- pca2euclid: Compute the Euclidean distance among principal components.
- pca.segments: Perform PCA on segments frequency data.
- permutDistTest: Monte Carlo permutation test for pairwise and one-vs-all-wise...
- permutedf: Shuffling data frames.
- rarefaction: Diversity evaluation using rarefaction.
- repDiversity: General function for the repertoire diversity estimation.
- repLoad: Parse input files or folders with immune receptor repertoire...
- repOverlap: General function for the repertoire overlap evaluation.
- repSave: Save tcR data frames to disk as text files or gzipped text...
- resample: Resample data frame using values from the column with number...
- revcomp: DNA reverse complementing and translation.
- reverse.string: Reverse given character vector by the given n-plets.
- sample2D: Get a sample from matrix with probabilities.
- sample.clones: Get a random subset from a data.frame.
- segments.alphabets: Alphabets of TCR and Ig gene segments.
- segments.list: Segment data.
- set.group.vector: Set group attribute for vertices of a mutation network
- set.pb: Simple functions for manipulating progress bars.
- set.people.vector: Set and get attributes of a mutation network related to...
- set.rank: Set new columns "Rank" and "Index".
- shared.repertoire: Shared TCR repertoire managing and analysis
- spectratyping: Spectratype plot.
- startmitcr: Start MiTCR directly from the package.
- tailbound.proportion: Proportions of specifyed subsets of clones.
- top.cross: Perform sequential cross starting from the top of a data...
- top.fun: Get samples from a repertoire slice-by-slice or top-by-top...
- twinsdata: Twins alpha-beta chain data
- vis.clonal.dynamics: Visualise clonal dynamics among time points.
- vis.clonal.space: Visualise occupied by clones homeostatic space among Samples...
- vis.count.len: Plot a histogram of lengths.
- vis.gene.usage: Histogram of segments usage.
- vis.group.boxplot: Boxplot for groups of observations.
- vis.heatmap: Heatmap.
- vis.kmer.histogram: Plot of the most frequent kmers.
- vis.logo: Logo - plots for amino acid and nucletide profiles.
- vis.number.count: Plot a histogram of counts.
- vis.pca: PCA result visualisation
- vis.radarlike: Radar-like / spider-like plots.
- vis.rarefaction: Rarefaction statistics visualisation.
- vis.shared.clonotypes: Visualisation of shared clonotypes occurrences among...
- vis.top.proportions: Visualisation of top clones proportions.