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Diagnose Bioconductor annotation failures: org.db ID mapping and TxDb genome-build mismatches
Complete solution
Diagnose Bioconductor annotation failures: org.db select()/mapIds() errors (passing a string instead of the db object, invalid keytypes, NA floods from snapshot vintage skew, 1:many mappings via multiVals) and TxDb genome-build skew (genome() build check, seqlevelsStyle chromosome-name conversion, keepStandardChromosomes pruning), plus AnnotationHub/ExperimentHub cache errors.
When it applies
[{"constraint": "any release; package version tracks the Bioconductor release (e.g. 3.12.x for Bioc 3.12)", "technology": "org.Hs.eg.db", "versionscheme": "semver"}, {"constraint": ">=1.14 (seqlevelsStyle getter/setter documented)", "technology": "GenomeInfoDb", "versionscheme": "semver"}, {"constraint": "any Bioconductor release; package name encodes source and build (e.g. UCSC hg19, UCSC hg38)", "technology": "TxDb.Hsapiens.UCSC.*.knownGene", "versionscheme": "unknown"}, {"constraint": ">=1.44 (AnnotationDbi select/mapIds interface)", "technology": "AnnotationDbi", "versionscheme": "semver"}]
Diagnose Bioconductor annotation failures: org.db ID mapping and TxDb genome-build mismatches
Use this when select() / mapIds() on an org.*.db package returns all NAs, throws keytype errors, or gives 1:many mappings you did not expect — or when coordinates from a TxDb package disagree with your data (silently empty overlaps, gene positions that look wrong). Annotation failures split into identifier-mapping failures and genome-build failures; classify which you have before remapping anything.
1. Failure class A: org.db ID mapping errors and NA floods
The org.db interface is AnnotationDbi: select(), mapIds(), keytypes(), columns(), keys(). The package name encodes the organism and the key type — org.Hs.eg.db means human, Entrez Gene central keys ('eg' = Entrez Gene).
Step 1 — read the exact error.
unable to find an inherited method for function 'mapIds' for signature '"character"' means the first argument was a character string, not the database object. A frequent cause: storing the package name in a variable.
library(AnnotationDbi)
library(org.Hs.eg.db)
# WRONG: org_pkg is a string; mapIds has no method for character
org_pkg <- "org.Hs.eg.db"
mapIds(org_pkg, ids, "ENTREZID", "ENSEMBL")
# RIGHT: pass the loaded database object
org_pkg <- org.Hs.eg.db
mapIds(org_pkg, ids, "ENTREZID", "ENSEMBL")None of the keys entered are valid keys for 'X'. Please use the keys method to see a listing of valid arguments. means the keytype does not match the identifier flavor you passed. Discover what the package actually offers:
keytypes(org.Hs.eg.db) # identifier flavors accepted as keytype
columns(org.Hs.eg.db) # columns you may request
head(keys(org.Hs.eg.db, keytype = "ENSEMBL")) # what keys look likeTypical mistake: passing Ensembl IDs (ENSG...) with keytype = "ENTREZID" or gene symbols with keytype = "ENSEMBL".
Step 2 — if there is no error but most results are NA: check the data vintage. org.db packages are rebuilt from the current NCBI/Ensembl snapshot at each Bioconductor release, and the package version tracks the release (e.g. org.Hs.eg.db_3.12.0 shipped with Bioconductor 3.12). IDs retired or renamed since your IDs were generated — versioned Ensembl IDs with the .11 suffix that changed, withdrawn symbols, merged Entrez records — return NA because they no longer exist in the snapshot:
packageVersion("org.Hs.eg.db") # which snapshot you are mapping against
sum(is.na(symbols)) # how many keys failed to mapFixes: strip Ensembl version suffixes (sub("[.].*$", "", ids)) if the snapshot predates them, match the org.db vintage to the vintage that produced the IDs, and accept that a small NA fraction is normal (withdrawn records), not a bug in your code.
Step 3 — duplicate mappings are expected; choose the resolution. Gene identifiers are often 1:many. select() returns all rows; mapIds() requires keytype and takes a single column, resolving duplicates via multiVals (default "first"). Alternatives: "list", "CharacterList", "filter", "asNA", or a user-supplied function:
mapIds(org.Hs.eg.db, ids, "SYMBOL", "ENSEMBL", multiVals = "list")If a script "worked" on an old org.db and now returns different symbols, the vintage changed, not the code — pin the package version.
2. Failure class B: TxDb genome-build and chromosome-name skew
TxDb package names encode the source and the genome build, e.g. TxDb.Hsapiens.UCSC.hg19.knownGene (UCSC, hg19, knownGene track). The current-build counterpart follows the same scheme with hg38. Two independent things must agree with your data: the build and the chromosome naming.
Step 1 — confirm the build. The coordinates in a TxDb are only valid for its build:
library(TxDb.Hsapiens.UCSC.hg38.knownGene)
txdb <- TxDb.Hsapiens.UCSC.hg38.knownGene
genome(txdb) # e.g. "hg38" -- must match the reference your reads were aligned toIf the alignments used hg38 and the TxDb is hg19, overlaps and gene coordinates are silently wrong — nothing errors, the numbers just disagree. There is no automatic fix; install the TxDb for the build that matches the data.
Step 2 — confirm the chromosome-name style. findOverlaps() matches the triplet (seqname, range, strand), so chr1 in your data vs 1 in the TxDb yields zero hits with no warning. Check and convert with GenomeInfoDb:
library(GenomeInfoDb)
seqlevelsStyle(txdb) # e.g. "UCSC" (chr1) vs "NCBI" (1)
seqlevelsStyle(txdb) <- "NCBI" # renames chr1 -> 1, chrM -> MT, etc.Do the conversion on one side so both sides share a style, then re-run the overlap. To drop unplaced scaffolds and alt contigs before comparing:
txdb <- keepStandardChromosomes(txdb, pruning.mode = "coarse")Step 3 — sanity-check the overlap result, not just the code. After alignment of build and style, spot-check with countOverlaps() or subsetByOverlaps() on a known gene (e.g. pull transcripts(txdb) for a housekeeping gene and confirm your reads overlap it). Zero overlaps after the build/style check points back to the counting stage, not the annotation.
3. Failure class C: AnnotationHub / ExperimentHub cache errors
Packages that fetch hub resources at load time can fail with:
error: Invalid Cache: sqlite file
Hub has not been added to cache
Run again with 'localHub=FALSE'The local hub cache was never initialized or is corrupt. Initialize it first, answering "yes" if prompted to create the local cache directory, then re-install or re-load the package:
AnnotationHub::AnnotationHub() # or ExperimentHub::ExperimentHub()The AnnotationHub vignette "Troubleshooting the Cache" documents the recovery steps for the persistent cases.
4. Checklist for the failing annotation step
Classify: A (ID mapping: error or NA flood), B (TxDb coordinates: silent wrong/empty results), C (hub cache error at load).
A-error: pass the db object, not the package-name string, to
mapIds; discover valid flavors withkeytypes()/columns()/keys().A-NA: compare
packageVersion("org.Hs.eg.db")against the vintage that produced the IDs; strip version suffixes; resolve 1:many withmultiVals.B:
genome(txdb)must equal the alignment build;seqlevelsStyle()must match on both sides — convert one side, then re-run overlaps;keepStandardChromosomes(..., pruning.mode = "coarse")to drop alt contigs.C: initialize the hub with
AnnotationHub()/ExperimentHub()before installing or loading.
Evidence
Grounded in the AnnotationDbi introduction vignette (select/mapIds/keytypes/columns/keys interface, multiVals choices first/list/CharacterList/filter/asNA/function, TxDb naming scheme encoding data source and genome build), a Biostars thread (verbatim 'unable to find an inherited method for function mapIds for signature character' error with the orgpkg-string fix), the BiocManager vignette timeout example (org.Hs.eg.db3.12.0 version tracks Bioc 3.12 release), the GenomeInfoDb reference (seqlevelsStyle getter/setter with UCSC/NCBI/dbSNP styles, mapSeqlevels, keepStandardChromosomes with pruning.mode coarse/tidy), Bioconductor course materials (TxDb.Hsapiens.UCSC.hg19.knownGene naming and the requirement that the TxDb build exactly match the alignment reference), and the AnnotationHub TroubleshootingTheCache vignette via a package README quoting the 'Invalid Cache: sqlite file / Hub has not been added to cache / Run again with localHub=FALSE' error and the ExperimentHub() initialization fix.
By @issueatlas · Version 1 · Exact version
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