Mercurial > repos > galaxyp > custom_pro_db_annotation_data_manager
view tool-data/update_ensembl_datasets.R @ 3:9ee512decde8 draft default tip
planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tools/bumbershoot/custom_pro_db commit d4b5497065b853ed094aebc9e4185e9995c5e0e0
author | galaxyp |
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date | Wed, 01 Nov 2017 19:34:06 -0400 |
parents | 9b4ee836e35b |
children |
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## ## Run this script to update the table of Ensembl assemblies available in the customProDB annotation data manager (ensembl_datasets.loc) ## library(RMySQL) library(httr) library(biomaRt) library(stringdist) con = dbConnect(MySQL(), host="ensembldb.ensembl.org", user="anonymous") archives = dbGetQuery(con, "SHOW DATABASES LIKE 'ensembl_archive_%'") dbDisconnect(con) latestArchive = tail(archives[,1], 1) con = dbConnect(MySQL(), host="ensembldb.ensembl.org", user="anonymous", dbname=latestArchive) assemblies = dbGetQuery(con, "SELECT s.name, s.common_name, rs.assembly_name, MAX(rs.release_id) AS latest_release, r.date FROM species as s, release_species as rs, ens_release as r WHERE s.species_id = rs.species_id AND r.release_id = rs.release_id AND r.online = 'Y' AND r.release_id < 10000 -- ignore 10075 (the special GRCh37 site) GROUP BY rs.assembly_name ORDER BY s.common_name, rs.release_id") allReleases = assemblies$latest_release uniqueReleases = unique(allReleases) # Get the <MMMYYYY> style archive link for each Ensembl release urlRedirectMap = sapply(paste0("e", uniqueReleases, ".ensembl.org"), function(url){XML::parseURI(HEAD(url)$url)$server}) ## NOTE ## Make sure the following line is updated to the latest Ensembl mirror assemblies$url = sub("www.", "may2017.archive.", urlRedirectMap[paste0("e", allReleases, ".ensembl.org")], fixed=TRUE) # Get all datasets from the archives datasets = c() for (archive in unique(assemblies$url)) { datasets = unique(c(datasets, listDatasets(useMart("ensembl", host=archive))$dataset)) } datasets = sub("_gene_ensembl", "", datasets, fixed=TRUE) # Match the assembly species names to the datasets (using amatch() because of cases like Mustela_putorius_furo -> mfuro) assemblies$dataset_id = datasets[amatch(tolower(assemblies$name), datasets, maxDist=3, method="osa", weight=c(0.1, 1, 1, 1))] # Remove mouse strains (would need to add these from ENSEMBL_MOUSE_MART) assemblies = assemblies[-grep("Mus_musculus_\\S+", assemblies$name, perl=TRUE),] # Remove unmatched assemblies (e.g. Mus spretus) assemblies = assemblies[-which(is.na(assemblies$dataset_id)),] # Replace underscores in scientific name assemblies$name = gsub("_", " ", assemblies$name, fixed=TRUE) # Sort assemblies first by scientific name, then descending by latest release for that assembly assemblies = assemblies[order(assemblies$name, -assemblies$latest_release),] # Write dataset table (3 columns: dataset_id, host, description) dataset_id = paste0(assemblies$dataset_id, "_gene_ensembl") host = paste0(assemblies$url) description = paste0(assemblies$common_name, " genes (Ensembl ", assemblies$latest_release, " ", assemblies$dataset_id, ") (", assemblies$assembly_name, ")") write.csv(paste(dataset_id, host, description, sep="\t"), file="ensembl_datasets.loc.sample")