gggenomes (version 1.0.1)

add_feats: Add different types of tracks

Description

Add different types of tracks

Usage

add_feats(x, ...)
add_links(x, ..., .adjacent_only = TRUE)
add_subfeats(x, ..., .track_id = "genes", .transform = "aa2nuc")
add_sublinks(x, ..., .track_id = "genes", .transform = "aa2nuc")
add_clusters(x, ..., .track_id = "genes")

Value

gggenomes object with added features

Arguments

x

object to add the tracks to (e.g. gggenomes, gggenomes_layout)

...

named data.frames, i.e. genes=gene_df, snps=snp_df

.adjacent_only

indicate whether links should be drawn only between vertically adjacent tracks

.track_id

track_id of the feats that subfeats, sublinks or clusters map to.

.transform

one of "aa2nuc", "none", "nuc2aa"

Functions

• add_feats(): Add feature annotations to sequences

• add_links(): Add links connecting sequences, such as whole-genome alignment data.

• add_subfeats(): Add features of features, such as gene/protein domains, blast hits to genes/proteins, etc.

• add_sublinks(): Add links that connect features, such as protein-protein alignments connecting genes.

• add_clusters(): Add gene clusters or other feature groups. Takes a data.frame with at least two required columns cluster_id and feat_id. The data.frame is converted to a link track connecting features belonging to the same cluster over their entire length. Additionally, the data.frame is joined to the parent feature track, adding cluster_id and all additional columns to the parent table.

Examples

# Add some repeat annotations
gggenomes(seqs = emale_seqs) %>%
  add_feats(repeats = emale_tirs) +
  geom_seq() + geom_feat()

# Add all-vs-all whole-genome alignments
gggenomes(seqs = emale_seqs) %>%
  add_links(links = emale_ava) +
  geom_seq() + geom_link()

# Add domains to genes
genes <- tibble::tibble(seq_id = "A", start = 100, end = 200, feat_id = "gene1")
domains <- tibble::tibble(feat_id = "gene1", start = 40, end = 80)
gggenomes(genes = genes) %>% add_subfeats(domains, .transform = "none") +
  geom_gene() + geom_feat()

# Add protein-protein alignments
gggenomes(emale_genes) %>%
  add_sublinks(emale_prot_ava) +
  geom_gene() + geom_link()

# add clusters
gggenomes(emale_genes, emale_seqs) %>%
  add_clusters(emale_cogs) %>%
  sync() + # works because clusters
  geom_link() + # become links
  geom_seq() +
  # works because cluster info is joined to gene track
  geom_gene(aes(fill = ifelse(is.na(cluster_id), NA,
    stringr::str_glue("{cluster_id} [{cluster_size}]")
  ))) +
  scale_fill_discrete("COGs")