1 Gather annotation data

Lets get a set of core shared genes among the three main species: L. major, L.mexicana, and L.panamensis. I am not sure how I want to deal with multi-copy genes yet.

meta <- EuPathDB::download_eupath_metadata(webservice="tritrypdb")
lm_entry <- EuPathDB::get_eupath_entry(species="Leishmania major", metadata=meta)
## Found the following hits: Leishmania major Friedlin, Leishmania major LV39c5, Leishmania major SD75.1, choosing the first.
## Using: Leishmania major Friedlin.
lp_entry <- EuPathDB::get_eupath_entry(species="Leishmania panamensis", metadata=meta)
## Found the following hits: Leishmania panamensis MHOMCOL81L13, Leishmania panamensis MHOMPA94PSC1, choosing the first.
## Using: Leishmania panamensis MHOMCOL81L13.
lmex_entry <- EuPathDB::get_eupath_entry(species="Leishmania mexicana", metadata=meta)
## Found: Leishmania mexicana MHOMGT2001U1103
lama_entry <- EuPathDB::get_eupath_entry(species="Leishmania amazonensis", metadata=meta)
## Found: Leishmania amazonensis MHOMBR71973M2269
lb_entry <- EuPathDB::get_eupath_entry(species="2904", metadata=meta)
## Found the following hits: Leishmania braziliensis MHOMBR75M2904, Leishmania braziliensis MHOMBR75M2904_2019, choosing the first.
## Using: Leishmania braziliensis MHOMBR75M2904.
##lm_db <- EuPathDB::make_eupath_orgdb(entry=lm_entry, installp=TRUE, reinstall=TRUE, overwrite=TRUE)
lm_db <- EuPathDB::make_eupath_orgdb(entry=lm_entry)
## Starting creation of org.Lmajor.Friedlin.v50.eg.db.
## [WARN] API request failed for Leishmania major Friedlin (code = 422):
## Warning in warn(sprintf("API request failed for %s (code = 422): ",
## entry[["Taxon"]])): API request failed for Leishmania major Friedlin (code =
## 422):
## [WARN] API request failed for Leishmania major Friedlin (code = 422):
## Warning in warn(sprintf("API request failed for %s (code = 422): ",
## entry[["Taxon"]])): API request failed for Leishmania major Friedlin (code =
## 422):
## [WARN] API request failed for Leishmania major Friedlin (code = 422):
## Warning in warn(sprintf("API request failed for %s (code = 422): ",
## entry[["Taxon"]])): API request failed for Leishmania major Friedlin (code =
## 422):
## [WARN] API request failed for Leishmania major Friedlin (code = 422):
## Warning in warn(sprintf("API request failed for %s (code = 422): ",
## entry[["Taxon"]])): API request failed for Leishmania major Friedlin (code =
## 422):
## [WARN] API request failed for Leishmania major Friedlin (code = 422):
## Warning in warn(sprintf("API request failed for %s (code = 422): ",
## entry[["Taxon"]])): API request failed for Leishmania major Friedlin (code =
## 422):
## [WARN] API request failed for Leishmania major Friedlin (code = 422):
## Warning in warn(sprintf("API request failed for %s (code = 422): ",
## entry[["Taxon"]])): API request failed for Leishmania major Friedlin (code =
## 422):
## Setting NA to numeric.
## Error in if (names(x)[nc] == "") names(x)[nc] <- paste0("V", nc) : 
##   missing value where TRUE/FALSE needed
## Warning in EuPathDB::make_eupath_orgdb(entry = lm_entry): Unable to create an
## orgdb for this species.
##lmex_db <- EuPathDB::make_eupath_orgdb(entry=lmex_entry, installp=TRUE, reinstall=TRUE, overwrite=TRUE)
lmex_db <- EuPathDB::make_eupath_orgdb(entry=lmex_entry)
## Starting creation of org.Lmexicana.MHOMGT2001U1103.v50.eg.db.
## [WARN] API request failed for Leishmania mexicana MHOMGT2001U1103 (code = 422):
## Warning in warn(sprintf("API request failed for %s (code = 422): ",
## entry[["Taxon"]])): API request failed for Leishmania mexicana MHOMGT2001U1103
## (code = 422):
## [WARN] API request failed for Leishmania mexicana MHOMGT2001U1103 (code = 422):
## Warning in warn(sprintf("API request failed for %s (code = 422): ",
## entry[["Taxon"]])): API request failed for Leishmania mexicana MHOMGT2001U1103
## (code = 422):
## [WARN] API request failed for Leishmania mexicana MHOMGT2001U1103 (code = 422):
## Warning in warn(sprintf("API request failed for %s (code = 422): ",
## entry[["Taxon"]])): API request failed for Leishmania mexicana MHOMGT2001U1103
## (code = 422):
## [WARN] API request failed for Leishmania mexicana MHOMGT2001U1103 (code = 422):
## Warning in warn(sprintf("API request failed for %s (code = 422): ",
## entry[["Taxon"]])): API request failed for Leishmania mexicana MHOMGT2001U1103
## (code = 422):
## [WARN] API request failed for Leishmania mexicana MHOMGT2001U1103 (code = 422):
## Warning in warn(sprintf("API request failed for %s (code = 422): ",
## entry[["Taxon"]])): API request failed for Leishmania mexicana MHOMGT2001U1103
## (code = 422):
## [WARN] API request failed for Leishmania mexicana MHOMGT2001U1103 (code = 422):
## Warning in warn(sprintf("API request failed for %s (code = 422): ",
## entry[["Taxon"]])): API request failed for Leishmania mexicana MHOMGT2001U1103
## (code = 422):
## Setting NA to numeric.
## Error in if (names(x)[nc] == "") names(x)[nc] <- paste0("V", nc) : 
##   missing value where TRUE/FALSE needed
## Warning in EuPathDB::make_eupath_orgdb(entry = lmex_entry): Unable to create an
## orgdb for this species.
##lp_db <- EuPathDB::make_eupath_orgdb(entry=lp_entry, installp=TRUE, reinstall=TRUE, overwrite=TRUE)
lp_db <- EuPathDB::make_eupath_orgdb(entry=lp_entry)
## Starting creation of org.Lpanamensis.MHOMCOL81L13.v50.eg.db.
## [WARN] API request failed for Leishmania panamensis MHOMCOL81L13 (code = 422):
## Warning in warn(sprintf("API request failed for %s (code = 422): ",
## entry[["Taxon"]])): API request failed for Leishmania panamensis MHOMCOL81L13
## (code = 422):
## [WARN] API request failed for Leishmania panamensis MHOMCOL81L13 (code = 422):
## Warning in warn(sprintf("API request failed for %s (code = 422): ",
## entry[["Taxon"]])): API request failed for Leishmania panamensis MHOMCOL81L13
## (code = 422):
## [WARN] API request failed for Leishmania panamensis MHOMCOL81L13 (code = 422):
## Warning in warn(sprintf("API request failed for %s (code = 422): ",
## entry[["Taxon"]])): API request failed for Leishmania panamensis MHOMCOL81L13
## (code = 422):
## [WARN] API request failed for Leishmania panamensis MHOMCOL81L13 (code = 422):
## Warning in warn(sprintf("API request failed for %s (code = 422): ",
## entry[["Taxon"]])): API request failed for Leishmania panamensis MHOMCOL81L13
## (code = 422):
## [WARN] API request failed for Leishmania panamensis MHOMCOL81L13 (code = 422):
## Warning in warn(sprintf("API request failed for %s (code = 422): ",
## entry[["Taxon"]])): API request failed for Leishmania panamensis MHOMCOL81L13
## (code = 422):
## [WARN] API request failed for Leishmania panamensis MHOMCOL81L13 (code = 422):
## Warning in warn(sprintf("API request failed for %s (code = 422): ",
## entry[["Taxon"]])): API request failed for Leishmania panamensis MHOMCOL81L13
## (code = 422):
## Setting NA to numeric.
## Error in if (names(x)[nc] == "") names(x)[nc] <- paste0("V", nc) : 
##   missing value where TRUE/FALSE needed
## Warning in EuPathDB::make_eupath_orgdb(entry = lp_entry): Unable to create an
## orgdb for this species.
##la_db <- EuPathDB::make_eupath_orgdb(entry=lama_entry, installp=TRUE, reinstall=TRUE, overwrite=TRUE)
la_db <- EuPathDB::make_eupath_orgdb(entry=lama_entry)
## Starting creation of org.Lamazonensis.MHOMBR71973M2269.v50.eg.db.
## [WARN] API request failed for Leishmania amazonensis MHOMBR71973M2269 (code = 422):
## Warning in warn(sprintf("API request failed for %s (code = 422): ",
## entry[["Taxon"]])): API request failed for Leishmania amazonensis
## MHOMBR71973M2269 (code = 422):
## [WARN] API request failed for Leishmania amazonensis MHOMBR71973M2269 (code = 422):
## Warning in warn(sprintf("API request failed for %s (code = 422): ",
## entry[["Taxon"]])): API request failed for Leishmania amazonensis
## MHOMBR71973M2269 (code = 422):
## [WARN] API request failed for Leishmania amazonensis MHOMBR71973M2269 (code = 422):
## Warning in warn(sprintf("API request failed for %s (code = 422): ",
## entry[["Taxon"]])): API request failed for Leishmania amazonensis
## MHOMBR71973M2269 (code = 422):
## [WARN] API request failed for Leishmania amazonensis MHOMBR71973M2269 (code = 422):
## Warning in warn(sprintf("API request failed for %s (code = 422): ",
## entry[["Taxon"]])): API request failed for Leishmania amazonensis
## MHOMBR71973M2269 (code = 422):
## [WARN] API request failed for Leishmania amazonensis MHOMBR71973M2269 (code = 422):
## Warning in warn(sprintf("API request failed for %s (code = 422): ",
## entry[["Taxon"]])): API request failed for Leishmania amazonensis
## MHOMBR71973M2269 (code = 422):
## [WARN] API request failed for Leishmania amazonensis MHOMBR71973M2269 (code = 422):
## Warning in warn(sprintf("API request failed for %s (code = 422): ",
## entry[["Taxon"]])): API request failed for Leishmania amazonensis
## MHOMBR71973M2269 (code = 422):
## Setting NA to numeric.
## Error in if (names(x)[nc] == "") names(x)[nc] <- paste0("V", nc) : 
##   missing value where TRUE/FALSE needed
## Warning in EuPathDB::make_eupath_orgdb(entry = lama_entry): Unable to create an
## orgdb for this species.
##lb_db <- EuPathDB::make_eupath_orgdb(entry=lb_entry, installp=TRUE, reinstall=TRUE, overwrite=TRUE)
lb_db <- EuPathDB::make_eupath_orgdb(entry=lb_entry)
## Starting creation of org.Lbraziliensis.MHOMBR75M2904.v50.eg.db.
## [WARN] API request failed for Leishmania braziliensis MHOMBR75M2904 (code = 422):
## Warning in warn(sprintf("API request failed for %s (code = 422): ",
## entry[["Taxon"]])): API request failed for Leishmania braziliensis MHOMBR75M2904
## (code = 422):
## [WARN] API request failed for Leishmania braziliensis MHOMBR75M2904 (code = 422):
## Warning in warn(sprintf("API request failed for %s (code = 422): ",
## entry[["Taxon"]])): API request failed for Leishmania braziliensis MHOMBR75M2904
## (code = 422):
## [WARN] API request failed for Leishmania braziliensis MHOMBR75M2904 (code = 422):
## Warning in warn(sprintf("API request failed for %s (code = 422): ",
## entry[["Taxon"]])): API request failed for Leishmania braziliensis MHOMBR75M2904
## (code = 422):
## [WARN] API request failed for Leishmania braziliensis MHOMBR75M2904 (code = 422):
## Warning in warn(sprintf("API request failed for %s (code = 422): ",
## entry[["Taxon"]])): API request failed for Leishmania braziliensis MHOMBR75M2904
## (code = 422):
## [WARN] API request failed for Leishmania braziliensis MHOMBR75M2904 (code = 422):
## Warning in warn(sprintf("API request failed for %s (code = 422): ",
## entry[["Taxon"]])): API request failed for Leishmania braziliensis MHOMBR75M2904
## (code = 422):
## [WARN] API request failed for Leishmania braziliensis MHOMBR75M2904 (code = 422):
## Warning in warn(sprintf("API request failed for %s (code = 422): ",
## entry[["Taxon"]])): API request failed for Leishmania braziliensis MHOMBR75M2904
## (code = 422):
## Setting NA to numeric.
## Error in if (names(x)[nc] == "") names(x)[nc] <- paste0("V", nc) : 
##   missing value where TRUE/FALSE needed
## Warning in EuPathDB::make_eupath_orgdb(entry = lb_entry): Unable to create an
## orgdb for this species.
lm_annot <- EuPathDB::load_eupath_annotations(entry=lm_entry)
## Error in EuPathDB::load_eupath_annotations(entry = lm_entry): unused argument (entry = lm_entry)
lmex_annot <- EuPathDB::load_eupath_annotations(entry=lmex_entry)
## Error in EuPathDB::load_eupath_annotations(entry = lmex_entry): unused argument (entry = lmex_entry)
lpan_annot <- EuPathDB::load_eupath_annotations(entry=lp_entry)
## Error in EuPathDB::load_eupath_annotations(entry = lp_entry): unused argument (entry = lp_entry)
lama_annot <- EuPathDB::load_eupath_annotations(entry=lama_entry)
## Error in EuPathDB::load_eupath_annotations(entry = lama_entry): unused argument (entry = lama_entry)
lbraz_annot <- EuPathDB::load_eupath_annotations(entry=lb_entry)
## Error in EuPathDB::load_eupath_annotations(entry = lb_entry): unused argument (entry = lb_entry)

2 Collect orthologs

lm_ortho <- EuPathDB::extract_eupath_orthologs(lm_db)
## Error in EuPathDB::extract_eupath_orthologs(lm_db): I only understand orgdbs or the name of a species.
lmex_ortho <- EuPathDB::extract_eupath_orthologs(lmex_db)
## Error in EuPathDB::extract_eupath_orthologs(lmex_db): I only understand orgdbs or the name of a species.
lp_ortho <- EuPathDB::extract_eupath_orthologs(lp_db)
## Error in EuPathDB::extract_eupath_orthologs(lp_db): I only understand orgdbs or the name of a species.
la_ortho <- EuPathDB::extract_eupath_orthologs(la_db)
## Error in EuPathDB::extract_eupath_orthologs(la_db): I only understand orgdbs or the name of a species.
lb_ortho <- EuPathDB::extract_eupath_orthologs(lb_db)
## Error in EuPathDB::extract_eupath_orthologs(lb_db): I only understand orgdbs or the name of a species.

3 Create expressionset

sample_sheet <- "sample_sheets/UMD_leishmania_host_metasheet_20200227.xlsx"

lm_expt_annot <- lm_annot
## Error in eval(expr, envir, enclos): object 'lm_annot' not found
rownames(lm_expt_annot) <- paste0(rownames(lm_expt_annot), ".mRNA")
## Error in h(simpleError(msg, call)): error in evaluating the argument 'x' in selecting a method for function 'rownames': object 'lm_expt_annot' not found
lm_expt <- create_expt(metadata=sample_sheet,
                       gene_info=lm_expt_annot,
                       savefile="lmajor.rda",
                       file_column="lmajorfile")
## Reading the sample metadata.
## Dropped 2 rows from the sample metadata because they were blank.
## The sample definitions comprises: 441 rows(samples) and 67 columns(metadata fields).
## Reading count tables.
## Reading salmon data with tximport.
## Finished reading count data.
## Warning in create_expt(metadata = sample_sheet, gene_info = lm_expt_annot, :
## Some samples were removed when cross referencing the samples against the count
## data.
## Error in create_expt(metadata = sample_sheet, gene_info = lm_expt_annot, : object 'lm_expt_annot' not found
lmex_expt_annot <- lmex_annot
## Error in eval(expr, envir, enclos): object 'lmex_annot' not found
rownames(lmex_expt_annot) <- paste0(rownames(lmex_expt_annot), ".1")
## Error in h(simpleError(msg, call)): error in evaluating the argument 'x' in selecting a method for function 'rownames': object 'lmex_expt_annot' not found
lmex_expt <- create_expt(metadata=sample_sheet,
                         gene_info=lmex_expt_annot,
                         savefile="lmexicana.rda",
                         file_column="lmexicanafile")
## Reading the sample metadata.
## Dropped 2 rows from the sample metadata because they were blank.
## The sample definitions comprises: 441 rows(samples) and 67 columns(metadata fields).
## Reading count tables.
## Reading salmon data with tximport.
## Finished reading count data.
## Warning in create_expt(metadata = sample_sheet, gene_info = lmex_expt_annot, :
## Some samples were removed when cross referencing the samples against the count
## data.
## Error in create_expt(metadata = sample_sheet, gene_info = lmex_expt_annot, : object 'lmex_expt_annot' not found
lp_expt_annot <- lpan_annot
## Error in eval(expr, envir, enclos): object 'lpan_annot' not found
rownames(lp_expt_annot) <- paste0(rownames(lp_expt_annot), ".1")
## Error in h(simpleError(msg, call)): error in evaluating the argument 'x' in selecting a method for function 'rownames': object 'lp_expt_annot' not found
lp_expt <- create_expt(metadata=sample_sheet,
                       gene_info=lp_expt_annot,
                       savefile="lpanamensis.rda",
                       file_column="lpanamensisfile")
## Reading the sample metadata.
## Dropped 2 rows from the sample metadata because they were blank.
## The sample definitions comprises: 441 rows(samples) and 67 columns(metadata fields).
## Reading count tables.
## Reading salmon data with tximport.
## Finished reading count data.
## Warning in create_expt(metadata = sample_sheet, gene_info = lp_expt_annot, :
## Some samples were removed when cross referencing the samples against the count
## data.
## Error in create_expt(metadata = sample_sheet, gene_info = lp_expt_annot, : object 'lp_expt_annot' not found
la_expt_annot <- lama_annot
## Error in eval(expr, envir, enclos): object 'lama_annot' not found
rownames(la_expt_annot) <- paste0(rownames(la_expt_annot), ".1")
## Error in h(simpleError(msg, call)): error in evaluating the argument 'x' in selecting a method for function 'rownames': object 'la_expt_annot' not found
la_expt <- create_expt(metadata=sample_sheet,
                       gene_info=la_expt_annot,
                       savefile="lamazonensis.rda",
                       file_column="lamazonensisfile")
## Reading the sample metadata.
## Dropped 2 rows from the sample metadata because they were blank.
## The sample definitions comprises: 441 rows(samples) and 67 columns(metadata fields).
## Reading count tables.
## Reading salmon data with tximport.
## Finished reading count data.
## Warning in create_expt(metadata = sample_sheet, gene_info = la_expt_annot, :
## Some samples were removed when cross referencing the samples against the count
## data.
## Error in create_expt(metadata = sample_sheet, gene_info = la_expt_annot, : object 'la_expt_annot' not found
lb_expt_annot <- lbraz_annot
## Error in eval(expr, envir, enclos): object 'lbraz_annot' not found
rownames(lb_expt_annot) <- paste0(rownames(lb_expt_annot), ".mRNA")
## Error in h(simpleError(msg, call)): error in evaluating the argument 'x' in selecting a method for function 'rownames': object 'lb_expt_annot' not found
lb_expt <- create_expt(metadata=sample_sheet,
                       gene_info=lb_expt_annot,
                       savefile="lbraziliensis.rda",
                       file_column="lbraziliensisfile")
## Reading the sample metadata.
## Dropped 2 rows from the sample metadata because they were blank.
## The sample definitions comprises: 441 rows(samples) and 67 columns(metadata fields).
## Reading count tables.
## Reading salmon data with tximport.
## Finished reading count data.
## Warning in create_expt(metadata = sample_sheet, gene_info = lb_expt_annot, :
## Some samples were removed when cross referencing the samples against the count
## data.
## Error in create_expt(metadata = sample_sheet, gene_info = lb_expt_annot, : object 'lb_expt_annot' not found
sub_cols <- c("GID", "ORTHOLOGS_ID", "ORTHOLOGS_GROUP")
lmlp_idx <- lm_ortho[["ORTHOLOGS_SPECIES"]] == "Leishmania panamensis MHOM/COL/81/L13"
## Error in eval(expr, envir, enclos): object 'lm_ortho' not found
lplm_idx <- lp_ortho[["ORTHOLOGS_SPECIES"]] == "Leishmania major strain Friedlin"
## Error in eval(expr, envir, enclos): object 'lp_ortho' not found
lmlp_ortho <- lm_ortho[lmlp_idx, sub_cols]
## Error in eval(expr, envir, enclos): object 'lm_ortho' not found
lplm_ortho <- lp_ortho[lplm_idx, sub_cols]
## Error in eval(expr, envir, enclos): object 'lp_ortho' not found
lm_mtrx <- exprs(lm_expt)
## Error in h(simpleError(msg, call)): error in evaluating the argument 'object' in selecting a method for function 'exprs': object 'lm_expt' not found
rownames(lm_mtrx) <- gsub(pattern="\\.mRNA", replacement="", x=rownames(lm_mtrx))
## Error in h(simpleError(msg, call)): error in evaluating the argument 'x' in selecting a method for function 'rownames': object 'lm_mtrx' not found
lm_des <- pData(lm_expt)
## Error in h(simpleError(msg, call)): error in evaluating the argument 'object' in selecting a method for function 'pData': object 'lm_expt' not found
lm_annot <- fData(lm_expt)
## Error in h(simpleError(msg, call)): error in evaluating the argument 'object' in selecting a method for function 'fData': object 'lm_expt' not found
lp_mtrx <- exprs(lp_expt)
## Error in h(simpleError(msg, call)): error in evaluating the argument 'object' in selecting a method for function 'exprs': object 'lp_expt' not found
rownames(lp_mtrx) <- gsub(pattern="\\.1", replacement="", x=rownames(lp_mtrx))
## Error in h(simpleError(msg, call)): error in evaluating the argument 'x' in selecting a method for function 'rownames': object 'lp_mtrx' not found
lp_des <- pData(lp_expt)
## Error in h(simpleError(msg, call)): error in evaluating the argument 'object' in selecting a method for function 'pData': object 'lp_expt' not found
lp_annot <- fData(lp_expt)
## Error in h(simpleError(msg, call)): error in evaluating the argument 'object' in selecting a method for function 'fData': object 'lp_expt' not found
colnames(lmlp_ortho) <- c("lm_gid", "lp_gid", "ogid")
## Error in colnames(lmlp_ortho) <- c("lm_gid", "lp_gid", "ogid"): object 'lmlp_ortho' not found
colnames(lplm_ortho) <- c("lp_gid", "lm_gid", "ogid")
## Error in colnames(lplm_ortho) <- c("lp_gid", "lm_gid", "ogid"): object 'lplm_ortho' not found
combined_ids <- merge(lmlp_ortho, lplm_ortho, all=TRUE)
## Error in merge(lmlp_ortho, lplm_ortho, all = TRUE): object 'lmlp_ortho' not found
ogids <- unique(combined_ids[["ogid"]])
## Error in h(simpleError(msg, call)): error in evaluating the argument 'x' in selecting a method for function 'unique': object 'combined_ids' not found
exprs <- data.frame(row.names=ogids)
## Error in data.frame(row.names = ogids): object 'ogids' not found
for (m in 1:ncol(lm_mtrx)) {
  name <- colnames(lm_mtrx)[m]
  exprs[[name]] <- 0
}
## Error in h(simpleError(msg, call)): error in evaluating the argument 'x' in selecting a method for function 'ncol': object 'lm_mtrx' not found
for (p in 1:ncol(lp_mtrx)) {
  name <- colnames(lp_mtrx)[p]
  exprs[[name]] <- 0
}
## Error in h(simpleError(msg, call)): error in evaluating the argument 'x' in selecting a method for function 'ncol': object 'lp_mtrx' not found
for (i in 1:length(ogids)) {
  ogid <- ogids[i]
  og_idx <- combined_ids[["ogid"]] == ogid
  lm_ids <- unique(combined_ids[og_idx, "lm_gid"])
  lp_ids <- unique(combined_ids[og_idx, "lp_gid"])
  lm_idx <- rownames(lm_mtrx) == lm_ids
  lp_idx <- rownames(lp_mtrx) == lp_ids
  if (sum(lm_idx) == 1) {
    lm_sum <- lm_mtrx[lm_idx, ]
  } else {
    lm_sum <- colSums(lm_mtrx[lm_idx, ])
  }
  if (sum(lp_idx) == 1) {
    lp_sum <- lp_mtrx[lp_idx, ]
  } else {
    lp_sum <- colSums(lp_mtrx[lp_idx, ])
  }
  sum <- c(lm_sum, lp_sum)
  exprs[ogid, ] <- sum
}
## Error in eval(expr, envir, enclos): object 'ogids' not found
pander::pander(sessionInfo())

R version 4.0.3 (2020-10-10)

Platform: x86_64-pc-linux-gnu (64-bit)

locale: LC_CTYPE=en_US.UTF-8, LC_NUMERIC=C, LC_TIME=en_US.UTF-8, LC_COLLATE=en_US.UTF-8, LC_MONETARY=en_US.UTF-8, LC_MESSAGES=en_US.UTF-8, LC_PAPER=en_US.UTF-8, LC_NAME=C, LC_ADDRESS=C, LC_TELEPHONE=C, LC_MEASUREMENT=en_US.UTF-8 and LC_IDENTIFICATION=C

attached base packages: parallel, stats, graphics, grDevices, utils, datasets, methods and base

other attached packages: futile.logger(v.1.4.3), hpgltools(v.1.0), testthat(v.3.0.1), R6(v.2.5.0), Biobase(v.2.50.0) and BiocGenerics(v.0.36.0)

loaded via a namespace (and not attached): RUnit(v.0.4.32), tidyselect(v.1.1.0), lme4(v.1.1-26), RSQLite(v.2.2.2), AnnotationDbi(v.1.52.0), grid(v.4.0.3), BiocParallel(v.1.24.1), devtools(v.2.3.2), scatterpie(v.0.1.5), munsell(v.0.5.0), codetools(v.0.2-18), statmod(v.1.4.35), withr(v.2.4.0), colorspace(v.2.0-0), GOSemSim(v.2.16.1), OrganismDbi(v.1.32.0), knitr(v.1.30), rstudioapi(v.0.13), stats4(v.4.0.3), DOSE(v.3.16.0), MatrixGenerics(v.1.2.0), tximport(v.1.18.0), GenomeInfoDbData(v.1.2.4), polyclip(v.1.10-0), bit64(v.4.0.5), farver(v.2.0.3), rprojroot(v.2.0.2), downloader(v.0.4), vctrs(v.0.3.6), generics(v.0.1.0), lambda.r(v.1.2.4), xfun(v.0.19), BiocFileCache(v.1.14.0), doParallel(v.1.0.16), GenomeInfoDb(v.1.26.2), graphlayouts(v.0.7.1), locfit(v.1.5-9.4), bitops(v.1.0-6), fgsea(v.1.16.0), DelayedArray(v.0.16.0), assertthat(v.0.2.1), promises(v.1.1.1), scales(v.1.1.1), ggraph(v.2.0.4), enrichplot(v.1.10.1), gtable(v.0.3.0), biocViews(v.1.58.1), sva(v.3.38.0), processx(v.3.4.5), tidygraph(v.1.2.0), rlang(v.0.4.10), genefilter(v.1.72.0), splines(v.4.0.3), rtracklayer(v.1.50.0), broom(v.0.7.3), BiocManager(v.1.30.10), yaml(v.2.2.1), reshape2(v.1.4.4), GenomicFeatures(v.1.42.1), backports(v.1.2.1), httpuv(v.1.5.5), qvalue(v.2.22.0), RBGL(v.1.66.0), clusterProfiler(v.3.18.0), tools(v.4.0.3), usethis(v.1.6.3), ggplot2(v.3.3.3), ellipsis(v.0.3.1), gplots(v.3.1.1), RColorBrewer(v.1.1-2), sessioninfo(v.1.1.1), Rcpp(v.1.0.6), plyr(v.1.8.6), progress(v.1.2.2), zlibbioc(v.1.36.0), purrr(v.0.3.4), RCurl(v.1.98-1.2), ps(v.1.5.0), prettyunits(v.1.1.1), openssl(v.1.4.3), viridis(v.0.5.1), cowplot(v.1.1.0), S4Vectors(v.0.28.1), SummarizedExperiment(v.1.20.0), ggrepel(v.0.9.0), colorRamps(v.2.3), fs(v.1.5.0), variancePartition(v.1.20.0), magrittr(v.2.0.1), futile.options(v.1.0.1), data.table(v.1.13.6), openxlsx(v.4.2.3), DO.db(v.2.9), matrixStats(v.0.57.0), pkgload(v.1.1.0), mime(v.0.9), hms(v.1.0.0), evaluate(v.0.14), xtable(v.1.8-4), pbkrtest(v.0.5-0.1), XML(v.3.99-0.5), IRanges(v.2.24.1), gridExtra(v.2.3), compiler(v.4.0.3), biomaRt(v.2.46.0), tibble(v.3.0.5), KernSmooth(v.2.23-18), crayon(v.1.3.4), shadowtext(v.0.0.7), minqa(v.1.2.4), htmltools(v.0.5.1), later(v.1.1.0.1), mgcv(v.1.8-33), tidyr(v.1.1.2), DBI(v.1.1.1), formatR(v.1.7), tweenr(v.1.0.1), dbplyr(v.2.0.0), MASS(v.7.3-53), rappdirs(v.0.3.1), boot(v.1.3-25), readr(v.1.4.0), Matrix(v.1.3-0), cli(v.2.2.0), igraph(v.1.2.6), GenomicRanges(v.1.42.0), pkgconfig(v.2.0.3), rvcheck(v.0.1.8), GenomicAlignments(v.1.26.0), xml2(v.1.3.2), foreach(v.1.5.1), annotate(v.1.68.0), XVector(v.0.30.0), AnnotationForge(v.1.32.0), rvest(v.0.3.6), stringr(v.1.4.0), callr(v.3.5.1), digest(v.0.6.27), graph(v.1.68.0), Biostrings(v.2.58.0), EuPathDB(v.1.6.0), rmarkdown(v.2.6), fastmatch(v.1.1-0), edgeR(v.3.32.0), PROPER(v.1.22.0), curl(v.4.3), shiny(v.1.5.0), Rsamtools(v.2.6.0), gtools(v.3.8.2), nloptr(v.1.2.2.2), lifecycle(v.0.2.0), nlme(v.3.1-151), jsonlite(v.1.7.2), desc(v.1.2.0), viridisLite(v.0.3.0), askpass(v.1.1), limma(v.3.46.0), fansi(v.0.4.2), pillar(v.1.4.7), lattice(v.0.20-41), fastmap(v.1.0.1), httr(v.1.4.2), pkgbuild(v.1.2.0), survival(v.3.2-7), GO.db(v.3.12.1), interactiveDisplayBase(v.1.28.0), glue(v.1.4.2), remotes(v.2.2.0), zip(v.2.1.1), iterators(v.1.0.13), pander(v.0.6.3), BiocVersion(v.3.12.0), bit(v.4.0.4), ggforce(v.0.3.2), stringi(v.1.5.3), blob(v.1.2.1), AnnotationHub(v.2.22.0), caTools(v.1.18.0), AnnotationHubData(v.1.20.0), memoise(v.1.1.0), rBiopaxParser(v.2.30.0) and dplyr(v.1.0.3)

message(paste0("This is hpgltools commit: ", get_git_commit()))
## If you wish to reproduce this exact build of hpgltools, invoke the following:
## > git clone http://github.com/abelew/hpgltools.git
## > git reset 052640a0b091e9a740e487957e087f265d0c74b5
## This is hpgltools commit: Thu Dec 3 13:42:02 2020 -0500: 052640a0b091e9a740e487957e087f265d0c74b5
## message(paste0("Saving to ", savefile))
## tmp <- sm(saveme(filename=savefile))
---
title: "20190124 parasite cell comparisons."
author: "atb abelew@gmail.com"
date: "`r Sys.Date()`"
output:
  html_document:
    code_download: true
    code_folding: show
    fig_caption: true
    fig_height: 7
    fig_width: 7
    highlight: tango
    keep_md: false
    mode: selfcontained
    number_sections: true
    self_contained: true
    theme: readable
    toc: true
    toc_float:
      collapsed: false
      smooth_scroll: false
  rmdformats::readthedown:
    code_download: true
    code_folding: show
    df_print: paged
    fig_caption: true
    fig_height: 7
    fig_width: 7
    highlight: tango
    width: 300
    keep_md: false
    mode: selfcontained
    toc_float: true
  BiocStyle::html_document:
    code_download: true
    code_folding: show
    fig_caption: true
    fig_height: 7
    fig_width: 7
    highlight: tango
    keep_md: false
    mode: selfcontained
    toc_float: true
---

<style type="text/css">
body, td {
  font-size: 16px;
}
code.r{
  font-size: 16px;
}
pre {
 font-size: 16px
}
</style>

```{r options, include=FALSE}
library(hpgltools)
tt <- sm(devtools::load_all("~/hpgltools"))
knitr::opts_knit$set(progress=TRUE,
                     verbose=TRUE,
                     width=120,
                     echo=TRUE)
knitr::opts_chunk$set(error=TRUE,
                      fig.width=8,
                      fig.height=8,
                      dpi=96)
old_options <- options(digits=4,
                       stringsAsFactors=FALSE,
                       knitr.duplicate.label="allow")
ggplot2::theme_set(ggplot2::theme_bw(base_size=12))
ver <- "20200220"
rundate <- format(Sys.Date(), format="%Y%m%d")
rmd_file <- paste0("20200220_parasite_comparisons.Rmd")
```

# Gather annotation data

Lets get a set of core shared genes among the three main species: L. major,
L.mexicana, and L.panamensis.  I am not sure how I want to deal with multi-copy
genes yet.

```{r annot}
meta <- EuPathDB::download_eupath_metadata(webservice="tritrypdb")
lm_entry <- EuPathDB::get_eupath_entry(species="Leishmania major", metadata=meta)
lp_entry <- EuPathDB::get_eupath_entry(species="Leishmania panamensis", metadata=meta)
lmex_entry <- EuPathDB::get_eupath_entry(species="Leishmania mexicana", metadata=meta)
lama_entry <- EuPathDB::get_eupath_entry(species="Leishmania amazonensis", metadata=meta)
lb_entry <- EuPathDB::get_eupath_entry(species="2904", metadata=meta)

##lm_db <- EuPathDB::make_eupath_orgdb(entry=lm_entry, installp=TRUE, reinstall=TRUE, overwrite=TRUE)
lm_db <- EuPathDB::make_eupath_orgdb(entry=lm_entry)

##lmex_db <- EuPathDB::make_eupath_orgdb(entry=lmex_entry, installp=TRUE, reinstall=TRUE, overwrite=TRUE)
lmex_db <- EuPathDB::make_eupath_orgdb(entry=lmex_entry)

##lp_db <- EuPathDB::make_eupath_orgdb(entry=lp_entry, installp=TRUE, reinstall=TRUE, overwrite=TRUE)
lp_db <- EuPathDB::make_eupath_orgdb(entry=lp_entry)

##la_db <- EuPathDB::make_eupath_orgdb(entry=lama_entry, installp=TRUE, reinstall=TRUE, overwrite=TRUE)
la_db <- EuPathDB::make_eupath_orgdb(entry=lama_entry)

##lb_db <- EuPathDB::make_eupath_orgdb(entry=lb_entry, installp=TRUE, reinstall=TRUE, overwrite=TRUE)
lb_db <- EuPathDB::make_eupath_orgdb(entry=lb_entry)

lm_annot <- EuPathDB::load_eupath_annotations(entry=lm_entry)
lmex_annot <- EuPathDB::load_eupath_annotations(entry=lmex_entry)
lpan_annot <- EuPathDB::load_eupath_annotations(entry=lp_entry)
lama_annot <- EuPathDB::load_eupath_annotations(entry=lama_entry)
lbraz_annot <- EuPathDB::load_eupath_annotations(entry=lb_entry)
```

# Collect orthologs

```{r orthos}
lm_ortho <- EuPathDB::extract_eupath_orthologs(lm_db)
lmex_ortho <- EuPathDB::extract_eupath_orthologs(lmex_db)
lp_ortho <- EuPathDB::extract_eupath_orthologs(lp_db)
la_ortho <- EuPathDB::extract_eupath_orthologs(la_db)
lb_ortho <- EuPathDB::extract_eupath_orthologs(lb_db)
```

# Create expressionset

```{r expt}
sample_sheet <- "sample_sheets/UMD_leishmania_host_metasheet_20200227.xlsx"

lm_expt_annot <- lm_annot
rownames(lm_expt_annot) <- paste0(rownames(lm_expt_annot), ".mRNA")
lm_expt <- create_expt(metadata=sample_sheet,
                       gene_info=lm_expt_annot,
                       savefile="lmajor.rda",
                       file_column="lmajorfile")


lmex_expt_annot <- lmex_annot
rownames(lmex_expt_annot) <- paste0(rownames(lmex_expt_annot), ".1")
lmex_expt <- create_expt(metadata=sample_sheet,
                         gene_info=lmex_expt_annot,
                         savefile="lmexicana.rda",
                         file_column="lmexicanafile")

lp_expt_annot <- lpan_annot
rownames(lp_expt_annot) <- paste0(rownames(lp_expt_annot), ".1")
lp_expt <- create_expt(metadata=sample_sheet,
                       gene_info=lp_expt_annot,
                       savefile="lpanamensis.rda",
                       file_column="lpanamensisfile")

la_expt_annot <- lama_annot
rownames(la_expt_annot) <- paste0(rownames(la_expt_annot), ".1")
la_expt <- create_expt(metadata=sample_sheet,
                       gene_info=la_expt_annot,
                       savefile="lamazonensis.rda",
                       file_column="lamazonensisfile")

lb_expt_annot <- lbraz_annot
rownames(lb_expt_annot) <- paste0(rownames(lb_expt_annot), ".mRNA")
lb_expt <- create_expt(metadata=sample_sheet,
                       gene_info=lb_expt_annot,
                       savefile="lbraziliensis.rda",
                       file_column="lbraziliensisfile")
```

```{r combine_orthologs}
sub_cols <- c("GID", "ORTHOLOGS_ID", "ORTHOLOGS_GROUP")
lmlp_idx <- lm_ortho[["ORTHOLOGS_SPECIES"]] == "Leishmania panamensis MHOM/COL/81/L13"
lplm_idx <- lp_ortho[["ORTHOLOGS_SPECIES"]] == "Leishmania major strain Friedlin"
lmlp_ortho <- lm_ortho[lmlp_idx, sub_cols]
lplm_ortho <- lp_ortho[lplm_idx, sub_cols]

lm_mtrx <- exprs(lm_expt)
rownames(lm_mtrx) <- gsub(pattern="\\.mRNA", replacement="", x=rownames(lm_mtrx))
lm_des <- pData(lm_expt)
lm_annot <- fData(lm_expt)

lp_mtrx <- exprs(lp_expt)
rownames(lp_mtrx) <- gsub(pattern="\\.1", replacement="", x=rownames(lp_mtrx))
lp_des <- pData(lp_expt)
lp_annot <- fData(lp_expt)

colnames(lmlp_ortho) <- c("lm_gid", "lp_gid", "ogid")
colnames(lplm_ortho) <- c("lp_gid", "lm_gid", "ogid")
combined_ids <- merge(lmlp_ortho, lplm_ortho, all=TRUE)

ogids <- unique(combined_ids[["ogid"]])
exprs <- data.frame(row.names=ogids)
for (m in 1:ncol(lm_mtrx)) {
  name <- colnames(lm_mtrx)[m]
  exprs[[name]] <- 0
}
for (p in 1:ncol(lp_mtrx)) {
  name <- colnames(lp_mtrx)[p]
  exprs[[name]] <- 0
}

for (i in 1:length(ogids)) {
  ogid <- ogids[i]
  og_idx <- combined_ids[["ogid"]] == ogid
  lm_ids <- unique(combined_ids[og_idx, "lm_gid"])
  lp_ids <- unique(combined_ids[og_idx, "lp_gid"])
  lm_idx <- rownames(lm_mtrx) == lm_ids
  lp_idx <- rownames(lp_mtrx) == lp_ids
  if (sum(lm_idx) == 1) {
    lm_sum <- lm_mtrx[lm_idx, ]
  } else {
    lm_sum <- colSums(lm_mtrx[lm_idx, ])
  }
  if (sum(lp_idx) == 1) {
    lp_sum <- lp_mtrx[lp_idx, ]
  } else {
    lp_sum <- colSums(lp_mtrx[lp_idx, ])
  }
  sum <- c(lm_sum, lp_sum)
  exprs[ogid, ] <- sum
}

```


```{r saveme}
pander::pander(sessionInfo())
message(paste0("This is hpgltools commit: ", get_git_commit()))
## message(paste0("Saving to ", savefile))
## tmp <- sm(saveme(filename=savefile))
```
