Hacktoberfest 2026: los issues que los mantenedores marcaron para octubre, abiertos y aptos para principiantes. Explorar issues de Hacktoberfest

Convert `Number=A` to `Number=1` when creating an `ExpandedVCF`

Abierto
#79 5 comentarios 0 reacciones 0 asignados Ver en GitHub

Nadie ha tomado este issue todavía.

Evaluación

Dificultad
3/5
Tiempo estimado
1-2 días
Aptitud para principiantes
42/100
Tipo de issue
Error
Claridad
Bastante claro
Estado de actividad
Estancado
Stack tecnológico
r

Línea de trabajo

Reproduce el problema con extdata/ex2.vcf usando readVcf(), expand(), writeVcf() y un readVcf() de roundtrip. Empieza rastreando expand() y los metadatos del encabezado VCF para el campo AF INFO. La tarea está terminada cuando los campos INFO expandidos por alelo conservan metadatos compatibles, de modo que el valor AF no se convierta en una NumericList después del roundtrip.

Escrito por el modelo de indexación a partir del texto del issue.

Descripción

It seems reasonable that per-allele ##INFO fields should be converted from Number=A to Number=1 when expand() is called, given that the 1:many relationship between rows and allelic values is now flattened into a 1:1 mapping.

This has practical consequences, too, as we can see:

fl <- system.file("extdata", "ex2.vcf", package="VariantAnnotation")

library(VariantAnnotation)
out <- tempfile()
first <- readVcf(fl)
first <- expand(first)

writeVcf(first, out)
roundtrip <- readVcf(out, row.names=FALSE)
roundtrip <- expand(roundtrip)

all.equal(first, roundtrip)
## [1] "Attributes: < Component “assays”: Attributes: < Component “data”: Attributes: < Component “listData”: Component “GT”: Attributes: < Length mismatch: comparison on first 1 components > > > >"
## [2] "Attributes: < Component “assays”: Attributes: < Component “data”: Attributes: < Component “listData”: Component “GQ”: Attributes: < Length mismatch: comparison on first 1 components > > > >"
## [3] "Attributes: < Component “assays”: Attributes: < Component “data”: Attributes: < Component “listData”: Component “DP”: Attributes: < Length mismatch: comparison on first 1 components > > > >"
## [4] "Attributes: < Component “assays”: Attributes: < Component “data”: Attributes: < Component “listData”: Component “HQ”: Attributes: < Length mismatch: comparison on first 1 components > > > >"
## [5] "Attributes: < Component “info”: Attributes: < Component “listData”: Component “AF”: Modes: numeric, S4 > >"
## [6] "Attributes: < Component “info”: Attributes: < Component “listData”: Component “AF”: Attributes: < target is NULL, current is list > > >"
## [7] "Attributes: < Component “info”: Attributes: < Component “listData”: Component “AF”: target is numeric, current is CompressedNumericList > >"
## [8] "Attributes: < Component “metadata”: Component “header”: Attributes: < Component “header”: Attributes: < Component “listData”: Component “fileDate”: Attributes: < Component “listData”: Component “Value”: 1 string mismatch > > > >"

We can ignore mismatches 1-4, as these are inconsequential to most end-users (albeit annoying to developers, see #78). We can also ignore mismatch 8, which is discussed in #78. The interesting discrepancies are that of 5-7, where AF becomes a NumericList after a roundtrip through the VCF file. This is because its ##info is still registering Number=A but should really be Number=1 to match the fact that it's already been flattened by the expand() call to generate first.

Session information
R Under development (unstable) (2023-11-29 r85646)
Platform: aarch64-apple-darwin22.5.0
Running under: macOS Ventura 13.6.1

Matrix products: default
BLAS:   /Users/luna/Software/R/trunk/lib/libRblas.dylib
LAPACK: /Users/luna/Software/R/trunk/lib/libRlapack.dylib;  LAPACK version 3.11.0

locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8

time zone: America/Los_Angeles
tzcode source: internal

attached base packages:
[1] stats4    stats     graphics  grDevices utils     datasets  methods
[8] base

other attached packages:
 [1] VariantAnnotation_1.49.2    Rsamtools_2.19.2
 [3] Biostrings_2.71.1           XVector_0.43.0
 [5] SummarizedExperiment_1.33.1 Biobase_2.63.0
 [7] GenomicRanges_1.55.1        GenomeInfoDb_1.39.5
 [9] IRanges_2.37.0              S4Vectors_0.41.3
[11] MatrixGenerics_1.15.0       matrixStats_1.2.0
[13] BiocGenerics_0.49.1

loaded via a namespace (and not attached):
 [1] KEGGREST_1.43.0          rjson_0.2.21             lattice_0.22-5
 [4] vctrs_0.6.5              tools_4.4.0              bitops_1.0-7
 [7] generics_0.1.3           curl_5.2.0               parallel_4.4.0
[10] tibble_3.2.1             fansi_1.0.6              AnnotationDbi_1.65.2
[13] RSQLite_2.3.4            blob_1.2.4               pkgconfig_2.0.3
[16] Matrix_1.6-4             BSgenome_1.71.1          dbplyr_2.4.0
[19] lifecycle_1.0.4          GenomeInfoDbData_1.2.11  compiler_4.4.0
[22] stringr_1.5.1            progress_1.2.3           codetools_0.2-19
[25] yaml_2.3.8               RCurl_1.98-1.13          pillar_1.9.0
[28] crayon_1.5.2             BiocParallel_1.37.0      DelayedArray_0.29.0
[31] cachem_1.0.8             abind_1.4-5              tidyselect_1.2.0
[34] digest_0.6.33            stringi_1.8.3            restfulr_0.0.15
[37] dplyr_1.1.4              biomaRt_2.59.0           fastmap_1.1.1
[40] grid_4.4.0               cli_3.6.2                SparseArray_1.3.2
[43] magrittr_2.0.3           S4Arrays_1.3.1           GenomicFeatures_1.55.1
[46] XML_3.99-0.16            utf8_1.2.4               rappdirs_0.3.3
[49] filelock_1.0.3           prettyunits_1.2.0        bit64_4.0.5
[52] httr_1.4.7               bit_4.0.5                png_0.1-8
[55] hms_1.1.3                memoise_2.0.1            BiocIO_1.13.0
[58] BiocFileCache_2.11.1     rtracklayer_1.63.0       rlang_1.1.2
[61] glue_1.6.2               DBI_1.2.0                xml2_1.3.6
[64] R6_2.5.1                 GenomicAlignments_1.39.0 zlibbioc_1.49.0
Lenguaje dominante
R
Estrellas
32
Forks
21
Métricas de merge de PR
Sin PR fusionados en 30 d

Guía de contribución

No hay ninguna guía de contribución indexada para este repositorio

Primeros pasos

  1. Lee el issue completo y luego la guía de contribución del proyecto.
  2. Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
  3. Haz un fork del repositorio y trabaja en una rama.
  4. Abre un pull request que haga referencia al número del issue.

Más de Bioconductor/VariantAnnotation

Todos los issues de Bioconductor/VariantAnnotation

Issues similares

Más issues de R

Recibe los nuevos issues en tu correo

Un resumen breve de issues de GitHub para principiantes.