Add NCI complete neoantigen screen (iScience 2022 S6) as an immunogenicity variant

immunogenicity/nci_complete.tsv.gz: the *complete* NCI (Rosenberg-lab) neoantigen minigene screen --
1,326 mutant 25-mer minigenes across 46 GI-cancer patients with CD8/CD4 T-cell screen outcomes (28
CD8-immunogenic). Unlike neoag_tested's aggregated epitopes, this is a predictor-agnostic *screened*
set with real (screened-negative) negatives, useful as an unbiased immunogenicity benchmark. Kept a
standalone variant because it is minigene-level (peptide = 25-mer minigene, mhc_a blank -- not
epitope-deconvolved); consumers tile + predict against the patient genotype.

Source: Kosaloglu-Yalcin et al., "Combined assessment of MHC binding and antigen abundance improves
T cell epitope predictions", iScience 2022;25(2):103850, Table S6. doi:10.1016/j.isci.2022.103850,
PMID 35128348. (Raw sheet staged locally under the gitignored raw/, per repo convention.)

DESCRIPTION.md

@@ -57,6 +57,7 @@ the mouse thymus proteome (PXD007288) is a 12 GB MaxQuant archive, and the mTEC-
 | `immunogenicity/neoag_candidates.tsv.gz` | 9 | Neoantigens — candidates | untested neoantigen candidates (Neopep `not_tested`) |
 | `immunogenicity/neoag_tested_mmu.tsv.gz` | 12 | Neoantigens — tested, **mouse MHC** | 1,977 murine tested neo-epitopes (IEDB), immunogenicity 0/1 (740 immunogenic); `mhc_species=MusMusculus` |
 | `immunogenicity/neoag_tested_hsa.tsv.gz` | 12 | Neoantigens — tested, **human MHC in mouse models** | 717 rows from the same IEDB export whose restriction is HLA — HLA-transgenic mice plus human-host epitopes (KRAS G12D, CDK4 R24C, PMEL); `mhc_species=HomoSapiens` |
+| `immunogenicity/nci_complete.tsv.gz` | 9 | Neoantigens — complete NCI screen (variant) | 1,326 mutant 25-mer minigenes across 46 GI-cancer patients with CD8/CD4 T-cell screen outcomes (28 CD8-immunogenic) — a predictor-agnostic *screened* set with real negatives. Standalone variant, **minigene-level** (`peptide` = minigene, `mhc_a` blank — not epitope-deconvolved). Source: Koşaloğlu-Yalçın et al., iScience 2022, Table S6 ([doi:10.1016/j.isci.2022.103850](https://doi.org/10.1016/j.isci.2022.103850), PMID 35128348) |
 | `tcga/tcga_neoantigens.tsv.gz` | 10 | TCGA neoantigens | 2.24M expressed mutant-peptide–HLA binders across 8,505 TCGA donors (derived from open-access TCGA somatic + expression; per-barcode HLA/neoantigens as in TCIA / Thorsson 2018) |
 | `immunogenicity/hla_pop_freqs.tsv.gz` | — | HLA population freqs | EUR/ASN/AFR class-I (A/B/C) allele frequencies (AFND) |
 | `proteome/human.fasta.gz` | 4 | Human proteome (UP000005640) | self-reference proteome for similarity search |

immunogenicity/nci_complete.tsv.gz

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