CSV format requirements
General CSV format requirements
The following are the general format requirements for a CSV file used to create multiple cases:
The file must have a .csv extension.
The file must contain a [Data] header.
The row after [Data] header must include the field names identifying the data in each column. The column names are case-sensitive.
The row after the column name header and each subsequent row represents a sample.
Each column represents a data field.
It is essential that there are no empty rows between the [Data] header and the last sample row.
Number of cases per file can’t be greater than 50.
On versions before 34.0, cells should not contain commas. Consider replacing the commas with semicolons.
CSV schema
1. Mandatory fields
Must be present in the sample table at all times.
Case Type;
Family Id;
Phenotypes OR Phenotypes Id.
2. Conditionally mandatory fields
If these fields are left empty, it will result in the creation of an empty sample.
BioSample Name;
Files Names;
Storage Provider Id;
This field is mandatory if Files Names is empty:
Sample Type.
This field is required if the "auto" option is used for Files Names (only relevant for BSSH):
Default Project.
3. Optional fields
The sample table may include these supported optional columns.
Boost Genes;
Clinical Notes;
Date Of Birth;
Due Date;
Execute now;
Gender;
Gene List Id;
Kit Id;
Label Id;
Opt In;
Relation;
Selected Preset;
Visualization Files.
4. Custom fields
The sample table may contain custom columns to suit your specific needs and include any relevant information that is important for your workflow.
Each custom field must be assigned a unique name without spaces. Data from custom columns is saved per case under the Additional information section of Case Info.
Note: In cases with more than one sample, custom fields are only recognized and added to case information if their values appear within the same table row where the Relation field is equal to "proband".
Custom field examples:
Institution
Free text
Custom
GenoMed Solutions
Sample_Received_Date
Free text
Custom
24-02-2022
Sample_Type
Free text
Custom
Amniotic Fluid
Batch case .csv file validation rules
Mandatory (highlighted in red), Conditionally mandatory (highlighted in orange), and Optional fields should be filled in according to the following rules.
BioSample Name
Free text
Conditionally mandatory. An empty sample will be created if the field is left blank.
NA24385
Boost Genes
1. "TRUE" 2. "FALSE"
TRUE
Case Type
1. "Whole Genome" 2. "Exome" 3. "Custom Panel" 4. Array
5. Custom case type
Mandatory. Only considered for proband.
Whole Genome
Clinical Notes
Free text
Optional
A 14-year-old boy with a visual acuity of 20/200 in both eyes in whom hearing loss was first noted at 5 years of age on routine screening; audiometry revealed sensorineural hearing loss.
Date Of Birth
Date "YYYY-MM-DD"
Optional
2013-01-22
Default Project
Free text
Conditionally mandatory. Must be filled in if the "auto" option is used for Files Names (only relevant for BSSH).
GIAB
Due Date
Date "YYYY-MM-DD"
Optional
2023-05-03
Execute now
1. "TRUE" 2. "FALSE"
Optional. Default value is "TRUE". Use "FALSE" if you don’t want to run the case upon uploading the file.e Only considered for proband.
FALSE
Family Id
Free text
Mandatory
RM8392
Files Names
1. Semicolon-separated list of paths to .fastq, .fastq.gz, .vcf, .vcf.gz, .bam, .cram, *gt_sample_sammary.json files without spaces 2. "existing" 3. "auto"
/GIAB_cases/1/NA24385.dragen.hard-filtered.gvcf.gz;/QA_cases/Other/NA24385.dragen.cnv.vcf.gz;/QA_cases/Other/NA24385.dragen.repeats.vcf;
Sex / Gender*
1. "F" 2. "M" 3. "U"
Optional. Default value is "U".
*The field is labeled as Sex in versions 33.0 and later, and as Gender in older versions.
M
Gene List Id
integer
Optional. Must be the id of a previously defined Gene List. Only considered for proband.
12345
Kit Id
integer
Optional. Must be the id of a previously defined Kit. Only considered for proband.
23456
Label Id
integer
Optional. Must be the id of a previously defined Case Label. Only considered for proband.
34567
Opt In
1. "TRUE" 2. "FALSE"
FALSE
Phenotypes
Semicolon-separated list of HPO phenotype terms
"Unaffected" is used for non-affected family members.
Mandatory for proband sample if Phenotypes Id is empty. List must be under 100. It is possible to include non-HPO terms if Phenotypes Id is empty.
Abnormal pupillary function;Orthotopic os odontoideum;
Phenotypes Id
Semicolon-separated list of HPO phenotype IDs
Mandatory for proband sample if Phenotypes is empty.
List must be under 100.
HP:0007686;HP:0025375;
Relation
1. "proband" 2. "mother" 3. "father" 4. "sibling"
Optional. Default value is "proband". Values "proband", "father", "mother" can be only used once per Family ID. One sample with Relation "proband" is required per Family ID.
Mother
Sample Type
1. "FASTQ" 2. "VCF"
Conditionally mandatory. Required if Files Names is empty. Only considered for proband.
FASTQ
Selected Preset
1. Free text 2. "Default"
Optional. Must be the name of a previously defined Preset. If set to default, the default Preset will be applied. If left empty, no Preset will be applied.
High quality candidates
Storage Provider Id
Integer
Conditionally mandatory. Required if Files Names is not empty. Must be from the configured storage provider ID list.
208
Visualization Files
Semicolon-separated list of paths to sequence alignment data files of extension .bam, .cram; 🆕34.0+: also .tn.bw, .baf.bw, .roh.bed, .lrr.bedgraph, .baf.bedgraph
Optional
/giab_project/NA24385.bam
Required BSSH file path format:
For BSSH, it is necessary to use the actual names (numbers):
instead of aliases
Human-Readable Path for BSSH files in Batch CSV (Version 37)
In version 37, we introduced an enhancement to the batch upload process that allows customers to provide a human-readable path in their batch CSV for BSSH files.
Validations
When a batch CSV includes a human-readable path, the system performs the following validations for paths in BSSH storage:
Single File in the Path:
If the provided path contains exactly one file or dataset, the batch upload proceeds successfully.
Two Files in the Path:
If the path contains two files with the same name (for example, two pairs of fastqs in a dataset) , the system will:
Select the dataset marked as QCPassed.
Fail the batch upload if both datasets are marked as QCPassed, as this indicates conflicting data.
More Than Two Files in the Path:
If the path contains more than two files or datasets, the system fails the batch upload, as the path is considered ambiguous or invalid.
Error Scenarios
Multiple QCPassed Datasets: If two datasets in the same path are marked as QCPassed, the batch upload will fail with a descriptive error indicating the conflict.
Excessive Files in the Path: If more than two files are found for the provided path, the batch upload will fail, instructing the user to provide a more specific or valid path.
Benefits
Enables customers to use intuitive, human-readable paths in their workflows.
Automatically handles dataset selection based on quality control status.
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