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6 | 6 |
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7 | 7 | ## Introduction |
8 | 8 |
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9 | | -nf-core/drop allows controlling which subworkflows to run via parameters (`--ae_run` (Aberrant Expression), `--as_run` (Aberrant Splicing), `--mae_run` (Mono-Allelic Expression)). By default, each subworkflow is set to false. We describe different global and module-specific parameters in the [parameter documentation](https://nf-co.re/drop/parameters). |
| 9 | +nf-core/drop allows controlling which subworkflows to run. By default, all subworkflows will run. You can skip subsworkflow via parameters (`--ae_skip` (Aberrant Expression), `--as_skip` (Aberrant Splicing), `--mae_skip` (Mono-Allelic Expression)). We describe different global and module-specific parameters in the [parameter documentation](https://nf-co.re/drop/parameters). |
10 | 10 |
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11 | 11 | ## Samplesheet input |
12 | 12 |
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@@ -100,12 +100,32 @@ the `DROP_GROUP` BLOOD_AS for the aberrant expression module (containing S10R, E |
100 | 100 |
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101 | 101 | An [example samplesheet](../assets/samplesheet.tsv) has been provided with the pipeline. |
102 | 102 |
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| 103 | +| Column | Description | |
| 104 | +| ------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | |
| 105 | +| `RNA_ID` | Unique identifier for the RNA sample. | |
| 106 | +| `RNA_BAM_FILE` | Path to the RNA BAM file. | |
| 107 | +| `RNA_BAI_FILE` | Path to the RNA BAM index file. It will be automatically generated from the BAM files if not given. | |
| 108 | +| `DNA_ID` | Identifier for the DNA sample. It shall be the sample header in the VCF file. | |
| 109 | +| `DNA_VCF_FILE` | Path to the DNA VCF file. | |
| 110 | +| `DNA_TBI_FILE` | Path to the DNA VCF index file. It will be automatically generated from the VCF files if not given. | |
| 111 | +| `DROP_GROUP` | See [above](#drop_group). | |
| 112 | +| `PAIRED_END` | Indicates if the input is paired-end or single-end. Default: `true` (paired-end). Refer to the documentation of [HTSeq](https://htseq.readthedocs.io/en/latest/). | |
| 113 | +| `COUNT_MODE` | Count mode. Default: `IntersectionStrict`. Options: `union`, `IntersectionStrict`, `IntersectionNotEmpty`. Refer to the documentation of [HTSeq](https://htseq.readthedocs.io/en/latest/). | |
| 114 | +| `COUNT_OVERLAPS` | Indicates if overlaps should be counted. Default: `true`. Refer to the documentation of [HTSeq](https://htseq.readthedocs.io/en/latest/). | |
| 115 | +| `STRAND` | Samples within each `DROP_GROUP` should either be stranded (`yes`, `reverse`, or a combination of `yes` and `reverse`) or unstranded (only `no`), and this can vary between different `DROP_GROUP`s. | |
| 116 | +| `HPO_TERMS` | Comma-separated list of HPO terms associated with the sample. | |
| 117 | +| `GENE_COUNTS_FILE` | Path to the gene counts file (`.tsv` or `.tsv.gz`). See details also [above](#aberrant-expression). | |
| 118 | +| `GENE_ANNOTATION` | Gene annotation in YAML format, e.g. [assets/gene_annotation.yaml](../assets/gene_annotation.yaml). | |
| 119 | +| `GENOME` | See details [above](#mae). Default: `ucsc`. Options: `ncbi`, `ucsc`. | |
| 120 | +| `SPLICE_COUNTS_DIR` | Path to the splice counts directory. See details [above](#aberrant-splicing). | |
| 121 | +| `SEX` | Sex of the sample. Samples of `m`, `male`, `f`, `femal` are analysed for sex bias aberrant expression report. | |
| 122 | + |
103 | 123 | ## Running the pipeline |
104 | 124 |
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105 | 125 | The typical command for running the pipeline is as follows: |
106 | 126 |
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107 | 127 | ```bash |
108 | | -nextflow run nf-core/drop --input ./samplesheet.tsv --outdir ./results --genome hg19 --gene_annotation ./gene_annotation.yaml -profile docker --ae_run true |
| 128 | +nextflow run nf-core/drop --input ./samplesheet.tsv --outdir ./results --genome hg19 --gene_annotation ./gene_annotation.yaml -profile docker |
109 | 129 | ``` |
110 | 130 |
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111 | 131 | This will launch the pipeline with the `docker` configuration profile. See below for more information about profiles. |
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