vdjdb-format

name	vdjdb-format
description	Standardise a raw or partially-formatted VDJdb TSV chunk — normalising species names, IMGT V/D/J gene IDs, IMGT-HLA MHC alleles, and method vocabulary — and produce a properly-named chunk file ready for proofreading.

/format — VDJdb Chunk Formatting Skill

Purpose

Take the output of /extract (or any TSV resembling a chunk file) and standardise all controlled-vocabulary fields to the VDJdb / IMGT specification. Cross-check naming conventions against existing chunks/ files to ensure internal consistency. This is the second stage: extract → format → proofread.

Invocation

/format [path-to-tsv]

The TSV must have a VDJdb-compatible header (see canonical column order in /extract). If the file has structural problems (missing columns, wrong separator), halt and report — this is a job for /proofread Step 1, not format.

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Standardisation Rules

1. Species Names

Normalise to the exact VDJdb-accepted values (case-sensitive):

Normalise FROM	Normalise TO
Homo sapiens, human, H. sapiens, hs, Human	HomoSapiens
Mus musculus, mouse, M. musculus, mm, Mouse	MusMusculus
Rattus norvegicus, rat, Rattus	RattusNorvegicus
Macaca mulatta, rhesus, macaque, NHP	MacacaMulatta

If a species is not in the above list:

1. Log it as a candidate for extending speciesList in py_src/ChunkQC.py
2. Ask the user whether to include or exclude those rows

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2. IMGT V/D/J Gene IDs

Primary authority: proofreading/imgt_alleles.tsv.gz (column imgt_gene_id) Conversion table: patches/nomenclature.conversions Secondary fallback: patches/IGM_nomenclature_table.tsv

Rules (apply in order):

1. Strip whitespace: remove all spaces within the gene name (TRBV 7 → TRBV7, TRAV 12-2 → TRAV12-2)

2. Detect and convert Adaptive Biotech ImmunoSEQ names (see proofreading/imgt.md §9.2 for full details):

   • Full Adaptive prefix (TCRB, TCRA, TCRG, TCRD): replace with TRB, TRA, TRG, TRD
     • TCRBV06-05*01 → strip TCR prefix → TRBV06-05*01
   • Zero-padded subgroup: strip leading zeros from subgroup number
     • TRBV06-5 → TRBV6-5
   • Zero-padded cluster: strip leading zeros from cluster number
     • TRBV7-06 → TRBV7-6, TRBV4-01 → TRBV4-1
   • Verify result in imgt_alleles.tsv.gz: if gene-cluster is not found, try the bare gene name (Adaptive always appends -01 to single-cluster genes that IMGT names without a cluster)
     • TRBV19-01 → TRBV19-1 not found → TRBV19 found ✓
     • TRBV11-02 → TRBV11-2 found ✓
   • When source is Adaptive, note in format log: ADAPTIVE_NAME → IMGT_NAME (Adaptive ImmunoSEQ normalisation)

3. Look up in imgt_alleles.tsv.gz (strip allele suffix *NN before lookup):

   • If found → keep (or correct capitalisation to match)
   • If not found → check patches/nomenclature.conversions for a mapping
   • If found in conversions → apply the conversion and log old_name → new_name
   • If not found in either → flag as unresolvable; ask user

4. Validate allele (if present, e.g., ):

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3. MHC Alleles

Primary authority: proofreading/mhc_alleles.tsv.gz (column allele_name) Reference: proofreading/mhc.md

Human MHC (HLA)

Target format: HLA-<GENE>*<FIELD1>:<FIELD2> (e.g., HLA-A*02:01)

Problem	Fix
A02, A0201 (old serological)	→ HLA-A*02:01 if unambiguous; flag if ambiguous
A*0201 (old format, no colon)	→ HLA-A*02:01 (add prefix + insert colon)
HLA-A*02 (low resolution, 1-field)	Keep as-is; note in log that higher resolution preferred
HLA-A*02:01:01 or *02:01:01:01 (high-res)	Keep full string as-is
HLA-A 02:01 (space)	→ HLA-A*02:01
HLA-A*02:01N, *02:01L (expression suffix)	Keep suffix; note in log
Confirmed status from mhc_alleles.tsv.gz	gzip -dc proofreading/mhc_alleles.tsv.gz | awk -F'\t' '$2=="HLA-A*02:01"{print $3}'

MHC-I second chain: always normalise to literal B2M — never beta-2-microglobulin, β2m, b2m, B2M*01, etc.

mhc.class cross-check:

If mhc.a starts with...	mhc.class must be	mhc.b must be
HLA-A, HLA-B, HLA-C, HLA-E, HLA-F, HLA-G	MHCI	B2M
HLA-DR, HLA-DQ, HLA-DP, HLA-DO	MHCII	HLA β-chain allele

Mouse MHC (H-2)

Normalise FROM	Normalise TO
H2-Db, H2Db	H-2Db
IAb, I-Ab, IA-b	I-Ab
H-2D^b	H-2Db

For mouse class I: mhc.b = B2M For mouse class II: mhc.b = the β-chain name (e.g., I-Ab)

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4. Method Vocabulary

Normalise method.identification and method.verification to VDJdb-recognised terms.

The governing rule: use what the source says. Do not upgrade or downgrade based on prevalence in VDJdb.

Author writes	Normalise to	Reasoning
tetramer, pMHC tetramer, tetramer sort	tetramer-sort	Source specifies tetramers
dextramer, dextramer sort	dextramer-sort	Source specifies dextramers
pentamer, pentamer sort	pentamer-sort	Source specifies pentamers
multimer, pMHC multimer, multimer sort	multimer-sort	Source gives no more specific reagent type
Reagent type not stated (only "sort" or "FACS")	multimer-sort	Cannot assume tetramer; use generic
ELISpot	Do NOT map automatically	Log and ask user
51Cr release assay	Do NOT map automatically	Log and ask user

Example: A readme that says only "tetramer-sort" → tetramer-sort. A readme that says only "multimer-sort" with no other information → multimer-sort, even if tetramers are the most common reagent in VDJdb. Never infer the reagent type from context or database prevalence.

Rule: If an identification or verification method has no close equivalent in the current VDJdb vocabulary, do NOT force it. Instead:

1. Leave a descriptive string in the field (for reference)
2. Document it under "Vocabulary gaps" in the format log
3. Suggest adding it as a new term via a note to the database maintainers

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5. Reference IDs

Enforce correct format:

Problem	Fix
https://doi.org/10.1016/...	→ doi:10.1016/... (remove URL prefix)
http://dx.doi.org/10.1016/...	→ doi:10.1016/...
doi: 10.1016/... (space after colon)	→ doi:10.1016/...
pubmed:12345678 or PubMed:12345678	→ PMID:12345678
Bare number 12345678	Ask if it is a PMID; if confirmed → PMID:12345678

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6. Antigen Fields

Cross-reference patches/antigen_epitope_species_gene.dict:

• If antigen.epitope exists in the dict → use the dict's antigen.gene and antigen.species (this ensures consistency with the full database)
• If the epitope is new → keep author-provided gene/species values, note in log

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7. Chunk ID

After all formatting changes, renumber chunk.id sequentially from 1 (integer, no leading zeros).

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Output Filename

Prefer PMID_<pubmed_id>.txt (e.g., PMID_28975614.txt).

If no PMID is available:

1. Ask the user for the preferred name
2. Alternatives: doi_<mangled_doi>.txt, submitter-date format
3. Check that the chosen name does not duplicate an existing file in chunks/

Suggested placement: chunks_unformatted/ if uncertain about QC status; chunks/ only after /proofread passes.

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Format Log

Write <output_basename>_format_log.txt containing:

1. Changes made: for each change — field name, old value, new value, source of normalisation (imgt_alleles.tsv.gz / mhc_alleles.tsv.gz / nomenclature.conversions / manual)
2. Unresolvable fields: fields that could not be normalised and why
3. Vocabulary gaps: novel method/verification terms encountered
4. Allele resolution notes: alleles that exist in mhc_alleles.tsv.gz at low resolution only
5. Consistency discrepancies: naming differences found vs existing chunks/ files
6. Pseudogene warnings: gene names whose functionality = P in imgt_alleles.tsv.gz
7. Unconfirmed HLA alleles: alleles present in mhc_alleles.tsv.gz with confirmed = Unconfirmed

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Reference Files

File	Role
proofreading/imgt_alleles.tsv.gz	Primary IMGT V/D/J gene authority
proofreading/imgt.md	IMGT nomenclature rules
proofreading/mhc_alleles.tsv.gz	Primary HLA allele authority
proofreading/mhc.md	MHC/HLA naming rules, class I vs II, non-human
patches/nomenclature.conversions	Old → current IMGT gene name mappings
patches/IGM_nomenclature_table.tsv	Secondary IMGT fallback (existing repo file)
patches/antigen_epitope_species_gene.dict	Known epitope → gene/species mappings
py_src/ScoreFactory.py	Method vocabulary and scoring logic
py_src/ChunkQC.py	ALL_COLS definition (canonical column list)
chunks/*.txt	Reference for consistency checks
README.md	Full VDJdb specification

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Next Step

After formatting, run /proofread [path-to-formatted-tsv] to validate against py_src/ChunkQC.py and all other QC checks.