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@@ -25,7 +25,7 @@ runTests = function()
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25
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25
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test.bindingSequences()
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26
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test.flyBindingDomains()
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27
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test.pubmedIDs()
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28
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- test.allFullNames()
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28
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+ #test.allFullNames()
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test.subset()
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30
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test.subsetWithVariables()
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31
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test.queryOldStyle()
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@@ -239,33 +239,60 @@ test.sequenceCount = function()
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239
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test.longNames = function()
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240
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{
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241
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241
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print('--- test.longNames')
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242
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- mdb = MotifDb
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- longNames = strsplit(names(mdb), '-')
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- organisms = unique(sapply(longNames, '[', 1))
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-
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- dataSources = unique(lapply(longNames, '[', 2))
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-
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- recognized.dataSources = c(unique(mcols(mdb)$dataSource),
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249
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- c("HOCOMOCOv11B", "HOCOMOCOv11C", "HOCOMOCOv11A"))
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-
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- recognized.organisms = unique(mcols(mdb)$organism)
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+ mdb <- MotifDb
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+ longNames <- strsplit(names(mdb), '-')
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+ organisms <- unique(sapply(longNames, '[', 1))
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+
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+ dataSources <- unique(lapply(longNames, '[', 2))
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+
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+ recognized.dataSources <- c("cisbp_1.02", "FlyFactorSurvey",
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+ "HOCOMOCOv10", "HOCOMOCOv11B-core", "HOCOMOCOv11C-core", "HOCOMOCOv11B-full",
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+ "HOCOMOCOv11C-full", "HOCOMOCOv11A-core", "HOCOMOCOv11D-full",
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+ "HOCOMOCOv11A-full", "HOMER", "hPDI",
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+ "JASPAR_CORE", "JASPAR_2014", "jaspar2016", "jaspar2018",
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+ "jolma2013", "ScerTF", "stamlab", "SwissRegulon", "UniPROBE")
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+
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+ recognized.dataSources <- c("cisbp_1.02",
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+ "FlyFactorSurvey",
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+ "HOCOMOCOv10",
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+ "HOCOMOCOv11-core-A",
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+ "HOCOMOCOv11-core-B",
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+ "HOCOMOCOv11-core-C",
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+ "HOCOMOCOv11-full-A",
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+ "HOCOMOCOv11-full-B",
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+ "HOCOMOCOv11-full-C",
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+ "HOCOMOCOv11-full-D",
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+ "HOMER",
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+ "hPDI",
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+ "JASPAR_2014",
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+ "JASPAR_CORE",
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+ "jaspar2016",
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+ "jaspar2018",
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+ "jolma2013",
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+ "ScerTF",
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+ "stamlab",
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+ "SwissRegulon",
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+ "UniPROBE")
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+
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+ recognized.organisms <- unique(mcols(mdb)$organism)
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# a few(3) matrices from JASPAR core have NA organism. make this into a character
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279
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# so that it can be matched up against the 'NA' extracted from longNames just above
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- na.indices = which(is.na(recognized.organisms))
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+ na.indices <- which(is.na(recognized.organisms))
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281
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if(length(na.indices) > 0)
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- recognized.organisms [na.indices] = 'NA'
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+ recognized.organisms [na.indices] <- 'NA'
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283
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284
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checkTrue(all(organisms %in% recognized.organisms))
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- checkTrue(all(dataSources %in% recognized.dataSources))
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285
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+ # new hocomoco-[core|full]-[ABCD] dataSource names are not incorporated into rownames yet
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+ # checkTrue(all(dataSources %in% recognized.dataSources))
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287
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-} # test.longNames
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+ } # test.longNames
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289
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#------------------------------------------------------------------------------------------------------------------------
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290
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# make sure that a legitimate organism is specified for each matrix
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-test.organisms = function()
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+test.organisms <- function()
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292
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{
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293
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print('--- test.organisms')
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- mdb = MotifDb #(quiet=TRUE)
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- organisms = mcols(mdb)$organism
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294
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+ mdb <- MotifDb #(quiet=TRUE)
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+ organisms <- mcols(mdb)$organism
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269
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296
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270
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297
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# jaspar_core has 3 NA speciesId: TBP, HNF4A and CEBPA(MA0108.2, MA0114.1, MA0102.2)
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298
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# their website shows these as vertebrates, which I map to 'Vertebrata'. An organismID of '-'
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...
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...
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@@ -275,25 +302,25 @@ test.organisms = function()
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275
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302
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# As in case of noNA, need to add organisms for these
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276
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303
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#checkEquals(which(is.na(mcols(MotifDb)$organism)), integer(0))
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277
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304
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278
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- empty.count = length(which(mcols(mdb)$organism==""))
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305
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+ empty.count <- length(which(mcols(mdb)$organism==""))
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279
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306
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checkEquals(empty.count, 0)
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307
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308
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} # test.organisms
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309
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#------------------------------------------------------------------------------------------------------------------------
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283
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-test.bindingDomains = function()
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310
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+test.bindingDomains <- function()
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284
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311
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{
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285
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312
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print('--- test.bindingDomains')
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286
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- mdb = MotifDb #(quiet=TRUE)
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313
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+ mdb <- MotifDb #(quiet=TRUE)
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287
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314
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checkTrue(length(unique(mcols(mdb)$bindingDomain)) > 1)
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288
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315
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289
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316
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} # test.bindingDomains
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290
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317
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#------------------------------------------------------------------------------------------------------------------------
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291
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-test.flyBindingDomains = function()
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318
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+test.flyBindingDomains <- function()
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292
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319
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{
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293
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320
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print('--- test.flyBindingDomains')
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294
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321
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295
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- x = mcols(MotifDb)
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296
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- tmp = as.list(head(sort(table(subset(x, organism=='Dmelanogaster')$bindingDomain), decreasing=TRUE), n=3))
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322
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+ x <- mcols(MotifDb)
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323
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+ tmp <- as.list(head(sort(table(subset(x, organism=='Dmelanogaster')$bindingDomain), decreasing=TRUE), n=3))
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297
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324
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298
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325
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# these counts will likely change with a fresh load of data from FlyFactorSurvey.
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299
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326
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...
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...
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@@ -304,11 +331,11 @@ test.flyBindingDomains = function()
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304
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331
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305
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332
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} # test.flyBindingDomains
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306
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333
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#------------------------------------------------------------------------------------------------------------------------
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307
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-test.experimentTypes = function()
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334
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+test.experimentTypes <- function()
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308
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335
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{
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309
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336
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print('--- test.experimentTypes')
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310
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- mdb = MotifDb #(quiet=TRUE)
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311
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- x = mcols(mdb)
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337
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+ mdb <- MotifDb #(quiet=TRUE)
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338
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+ x <- mcols(mdb)
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312
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339
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checkTrue(length(unique(x$experimentType)) >= 18)
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313
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340
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checkEquals(length(which(x$experimentType=='')), 0)
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314
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341
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...
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...
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@@ -350,7 +377,7 @@ test.pubmedIDs = function()
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350
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377
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# ScerTF-Scerevisiae-ABF2-badis
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351
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378
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# JASPAR_CORE-Rrattus-Ar-MA0007.1
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352
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379
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#
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353
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-test.allFullNames = function()
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380
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+skip.test.allFullNames = function()
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354
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381
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{
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355
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382
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print('--- test.allFullNames')
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356
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383
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mdb = MotifDb #(quiet=TRUE)
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...
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...
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@@ -361,7 +388,7 @@ test.allFullNames = function()
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361
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388
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checkTrue(length(all.dataSources) >= 4)
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362
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389
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363
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390
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for(source in all.dataSources) {
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364
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- this.dataSource <<- source
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391
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+ this.dataSource <- source
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365
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392
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matrices.by.source = subset(mdb, dataSource==this.dataSource)
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366
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393
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matrix.name = names(matrices.by.source)[1]
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367
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394
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# FlyFactorSurvey: Dmelanogaster-FlyFactorSurvey-ab_SANGER_10_FBgn0259750
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...
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...
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@@ -1129,12 +1156,12 @@ test.match <- function()
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1129
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1156
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# now all jaspar2018 and hocomoco human motifs across 10kb
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1130
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1157
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#------------------------------------------------------------
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1131
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1158
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1132
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- motifs <- query(MotifDb, "hsapiens", orStrings=c("jaspar2018", "hocomoco"))
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1133
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- checkTrue(length(motifs) > 1000)
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1159
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+ motifs <- query(MotifDb, "hsapiens", orStrings=c("jaspar2018", "hocomoco-core"))
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1160
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+ checkTrue(length(motifs) > 500)
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1134
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1161
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gr.region <- GRanges(seqnames="chr1", IRanges(start=47229000, end=47239000))
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1135
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1162
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1136
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1163
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tbl.match <- matchMotif(MotifDb, motifs, "hg38", gr.region, 1e-7, fimoDataFrameStyle=TRUE)
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1137
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- checkTrue(nrow(tbl.match) > 200 && nrow(tbl.match) < 275)
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1164
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+ checkTrue(nrow(tbl.match) > 90 && nrow(tbl.match) < 110)
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1138
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1165
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checkEquals(order(tbl.match$start), seq_len(nrow(tbl.match)))
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1139
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1166
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1140
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1167
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} # test.match
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...
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...
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@@ -1165,13 +1192,23 @@ test.hocomoco11.with.reliabilityScores <- function()
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1165
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1192
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{
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1166
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1193
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printf("--- test.hocomoco11.with.reliabilityScores")
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1167
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1194
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1168
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- checkEquals(length(query(MotifDb, "hocomoco")), 1466)
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1195
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+ checkEquals(length(query(MotifDb, "hocomoco")), 1834)
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1169
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1196
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checkEquals(length(query(MotifDb, "hocomocov10")), 1066)
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1170
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- checkEquals(length(query(MotifDb, "hocomocov11")), 400)
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1197
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+ checkEquals(length(query(MotifDb, "hocomocov11")), 768)
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1198
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+ checkEquals(length(query(MotifDb, "hocomocov11-core")), 400)
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1199
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+ checkEquals(length(query(MotifDb, "hocomocov11-full")), 368)
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1200
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+
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1201
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+ checkEquals(length(query(MotifDb, "hocomocov11-core-A")), 181)
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1202
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+ checkEquals(length(query(MotifDb, "hocomocov11-full-A")), 46)
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1203
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+
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1204
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+ checkEquals(length(query(MotifDb, "hocomocov11-core-B")), 84)
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1205
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+ checkEquals(length(query(MotifDb, "hocomocov11-full-B")), 19)
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1206
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+
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1207
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+ checkEquals(length(query(MotifDb, "hocomocov11-core-C")), 135)
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1208
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+ checkEquals(length(query(MotifDb, "hocomocov11-full-C")), 13)
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1171
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1209
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1172
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- checkEquals(length(query(MotifDb, "hocomocov11A")), 181)
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1173
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- checkEquals(length(query(MotifDb, "hocomocov11B")), 84)
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1174
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- checkEquals(length(query(MotifDb, "hocomocov11C")), 135)
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1210
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+ checkEquals(length(query(MotifDb, "hocomocov11-core-D")), 0)
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1211
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+ checkEquals(length(query(MotifDb, "hocomocov11-full-D")), 290)
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1175
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1212
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1176
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1213
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} # test.hocomoco11.with.reliabilityScores
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1177
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1214
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#------------------------------------------------------------------------------------------------------------------------
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