readIgphyml - Read in output from IgPhyML

Description

readIgphyml reads output from the IgPhyML phylogenetics inference package for B cell repertoires

Usage

readIgphyml(file, id = NULL, format = c("graph", "phylo"),
collapse = TRUE)

Arguments

file
IgPhyML output file (.tab).
id
ID to assign to output object.
format
if "graph" return trees as igraph graph objects. if "phylo" return trees as ape phylo objects.
collapse
if TRUE transform branch lengths to units of substitutions, rather than substitutions per site, and collapse internal nodes separated by branches < 0.1 substitutions.

Value

A list containing IgPhyML model parameters and estimated lineage trees.

Object attributes:

  • param: Data.frame of parameter estimates for each clonal lineage. Columns include: CLONE, which is the clone id; NSEQ, the total number of sequences in the lineage; NSITE, the number of codon sites; TREE_LENGTH, the sum of all branch lengths in the estimated lineage tree; and LHOOD, the log likelihood of the clone’s sequences given the tree and parameters. Subsequent columns are parameter estimates from IgPhyML, which will depend on the model used. Parameter columns ending with _MLE are maximum likelihood estimates; those ending with _LCI are the lower 95 with _UCI are the upper 95 estimate. The first line of param is for clone REPERTOIRE, which is a summary of all lineages within the repertoire. For this row, NSEQ is the total number of sequences, NSITE is the average number of sites, and TREE_LENGTH is the mean tree length. For most applications, parameter values will be the same for all lineages within the repertoire, so access them simply by: <object>$param$OMEGA_CDR_MLE[1] to, for instance, get the estimate of dN/dS on the CDRs at the repertoire level.
  • trees: List of tree objects estimated by IgPhyML. If format="graph" these are igraph graph objects. If format="phylo", these are ape phylo objects.
  • command: Command used to run IgPhyML.

Details

readIgphyml reads output from the IgPhyML repertoire phylogenetics inference package. The resulting object is divded between parameter estimates (usually under the HLP19 model), which provide information about mutation and selection pressure operating on the sequences.

Trees returned from this function are either igraph objects or phylo objects, and each may be visualized accordingly. Futher, branch lengths in tree may represent either the expected number of substitutions per site (codon, if estimated under HLP or GY94 models), or the total number of expected substitutions per site. If the latter, internal nodes - but not tips - separated by branch lengths less than 0.1 are collapsed to simplify viewing.

References

  1. Hoehn KB, Lunter G, Pybus OG - A Phylogenetic Codon Substitution Model for Antibody Lineages. Genetics 2017 206(1):417-427 https://doi.org/10.1534/genetics.116.196303
  2. Hoehn KB, Vander Heiden JA, Zhou JQ, Lunter G, Pybus OG, Kleinstein SHK - Repertoire-wide phylogenetic models of B cell molecular evolution reveal evolutionary signatures of aging and vaccination. bioRxiv 2019
    https://doi.org/10.1101/558825

Examples

### Not run:
# Read in and plot a tree from an igphyml run
# library(igraph)
# s1 <- readIgphyml("IB+7d_lineages_gy.tsv_igphyml_stats_hlp.tab", id="+7d")
# print(s1$param$OMEGA_CDR_MLE[1])
# plot(s1$trees[[1]], layout=layout_as_tree, edge.label=E(s1$trees[[1]])$weight)