v2-samplesheet-maker 4.2.4.post20240104144948

v2 SampleSheet maker

V2 SampleSheet Maker

Generate an Illumina SampleSheet CSV from JSON.

Supported Sections

Sections currently supported:

• Header
• Reads
• BCLConvert_Settings
• BCLConvert_Data

Installation

Installation from pypi

pip install v2-samplesheet-maker

Alternatively one may use the docker container ghcr.io/umccr/v2-samplesheet-maker:latest

Usage

Usage:
v2-samplesheet-maker <input-json> <output-csv>

Use - for input-json parameter to parse json from stdin,
Use - for output-json parameter to parse output samplesheet csv to stdout.

Examples

See examples/ for more info

Input JSON

Click to expand!

{
  "header": {
    "file_format_version": 2,
    "run_name": "my-illumina-sequencing-run",
    "run_description": "A test run",
    "instrument_platform": "NovaSeq 6000",
    "instrument_type": "NovaSeq"
  },
  "reads": {
    "read_1_cycles": 151,
    "read_2_cycles": 151,
    "index_1_cycles": 10,
    "index_2_cycles": 10
  },
  "bclconvert_settings": {
    "adapter_behavior": "trim",
    "adapter_read_1": null,
    "adapter_read_2": null,
    "adapter_stringency": null,
    "barcode_mismatches_index_1": 1,
    "barcode_mismatches_index_2": 1,
    "minimum_trimmed_read_length": null,
    "minimum_adapter_overlap": 2,
    "mask_short_reads": null,
    "override_cycles": "Y151;Y10;Y8N2;Y151",
    "trim_umi": null,
    "create_fastq_for_index_reads": false,
    "no_lane_splitting": false,
    "fastq_compression_format": "gzip",
    "find_adapters_with_indels": null,
    "independent_index_collision_check": null
  },
  "bclconvert_data": [
    {
      "sample_id": "MyFirstSample",
      "lane": 1,
      "index": "AAAAAAAAAA",
      "index2": "CCCCCCCC",
      "sample_project": "SampleProject",
      "sample_name": null
    },
    {
      "sample_id": "MySecondSample",
      "lane": 1,
      "index": "GGGGGGGGGG",
      "index2": "TTTTTTTT",
      "sample_project": "SampleProject",
      "sample_name": null
    }
  ]
}

Output CSV

Click to expand!

[Header]
FileFormatVersion,2
RunName,my-illumina-sequencing-run
RunDescription,A test run
InstrumentPlatform,NovaSeq 6000
InstrumentType,NovaSeq

[Reads]
Read1Cycles,151
Read2Cycles,151
Index1Cycles,10
Index2Cycles,10

[BCLConvert_Settings]
AdapterBehavior,trim
BarcodeMismatchesIndex1,1
BarcodeMismatchesIndex2,1
MinimumAdapterOverlap,2
OverrideCycles,Y151;Y10;Y8N2;Y151
CreateFastqForIndexReads,False
NoLaneSplitting,False
FastqCompressionFormat,gzip

[BCLConvert_Data]
Lane,Sample_ID,index,index2,Sample_Project
1,MyFirstSample,AAAAAAAAAA,CCCCCCCC,SampleProject
1,MySecondSample,GGGGGGGGGG,TTTTTTTT,SampleProject

Testing your outputs

The v2-samplesheet-maker will validate that your parameters are the correct type, the correct name AND within the appropriate range. It will NOT however determine if your settings are appropriate or compatible with a BCLConvert run, i.e it will NOT ensure that your indexes have an appropriate hamming distance.

If you wish to validate your output samplesheet with BCLConvert, you can use the following script -

scripts/build-samplesheet-and-validate-with-bcl-convert.sh <input-json> [docker-image]. This will convert the input json to csv and then run the docker container bclconvert against your samplesheet.

You will need both jq and docker installed for this to work.

Contributing

Is there a missing section you'd like to see?

You can generate your own sections by

1. Forking this repository.
2. Adding the section pydantic model to the section models module
3. Extending the SampleSheel pydantic model in the samplesheet models module
4. Generating a class for your section in the section class module
5. Extending the SampleSheet class to write out your section in the samplesheet class module
6. Add a test for your section in the test_sections module
7. Generating a PR back to this repository! ( Please squash your commits :) )

Release Cycles

We try and update this repository for every new Dragen Release (which coincides with a BCLConvert release) and tag accordingly.