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#' Read AliTV .json file
#'
#' this file contains sequences, links and (optionally) genes
#'
#' @importFrom tidyr unnest_wider
#' @importFrom tidyr unnest
#' @importFrom jsonlite fromJSON
#' @param file path to json
#' @export
#' @return list with seqs, genes, and links
#' @examples
#' ali <- read_alitv("https://alitvteam.github.io/AliTV/d3/data/chloroplasts.json")
#' gggenomes(ali$genes, ali$seqs, links = ali$links) +
#' geom_seq() +
#' geom_bin_label() +
#' geom_gene(aes(fill = class)) +
#' geom_link()
#' p <- gggenomes(ali$genes, ali$seqs, links = ali$links) +
#' geom_seq() +
#' geom_bin_label() +
#' geom_gene(aes(color = class)) +
#' geom_link(aes(fill = identity)) +
#' scale_fill_distiller(palette = "RdYlGn", direction = 1)
#' p %>%
#' flip_seqs(5) %>%
#' pick_seqs(1, 3, 2, 4, 5, 6, 7, 8)
read_alitv <- function(file) {
ali <- jsonlite::fromJSON(file, simplifyDataFrame = TRUE)
seqs <- tibble(seq = ali$data$karyo$chromosome) %>%
mutate(seq_id = names(seq)) %>%
unnest_wider(seq) %>%
rename(bin_id = .data$genome_id)
genes <- tibble(feature = ali$data$feature) %>%
mutate(class = names(.data$feature)) %>%
filter(class != "link") %>%
unnest(.data$feature) %>%
rename(seq_id = .data$karyo)
links <- tibble(links = ali$data$links) %>%
unnest(links) %>%
unnest(links) %>%
unnest_wider(links)
link_pos <- tibble(link = ali$data$features$link) %>%
mutate(id = names(.data$link)) %>%
unnest_wider(.data$link)
links <- links %>%
left_join(link_pos, by = c("source" = "id")) %>%
left_join(link_pos, by = c("target" = "id")) %>%
transmute(
seq_id = .data$karyo.x,
start = .data$start.x,
end = .data$end.x,
seq_id2 = .data$karyo.y,
start2 = .data$start.y,
end2 = .data$end.y,
identity = identity
)
return(list(seqs = seqs, genes = genes, links = links))
}
read_alitv_seqs <- function(...) read_alitv(...)$seqs
read_alitv_genes <- function(...) read_alitv(...)$genes
read_alitv_links <- function(...) read_alitv(...)$links
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