Collects Illumina Basecalling metrics for a sequencing run.
This tool will produce per-barcode and per-lane basecall metrics for each sequencing run. Mean values for each metric are determined using data from all of the tiles. This tool requires the following data, LANE(#), BASECALLS_DIR, READ_STRUCTURE, and an input file listing the sample barcodes. Program will provide metrics including: the total numbers of bases, reads, and clusters, as well as the fractions of each bases, reads, and clusters that passed Illumina quality filters (PF) both per barcode and per lane. For additional information on Illumina's PF quality metric, please see the corresponding GATK Dictionary entry.
The input barcode_list.txt file is a file containing all of the sample and molecular barcodes and can be obtained from the ExtractIlluminaBarcodes tool.
Note: Metrics labeled as percentages are actually expressed as fractions!java -jar picard.jar CollectIlluminaBasecallingMetrics \
BASECALLS_DIR=/BaseCalls/ \
LANE=001 \
READ_STRUCTURE=25T8B25T \
INPUT=barcode_list.txt
Please see the CollectIlluminaBasecallingMetrics definitions for a complete description of the metrics produced by this tool.
This table summarizes the command-line arguments that are specific to this tool. For more details on each argument, see the list further down below the table or click on an argument name to jump directly to that entry in the list.
Argument name(s) | Default value | Summary | |
---|---|---|---|
Required Arguments | |||
--BASECALLS_DIR -B |
null | The Illumina basecalls output directory from which data are read | |
--LANE -L |
null | The lane whose data will be read | |
--READ_STRUCTURE -RS |
null | A description of the logical structure of clusters in an Illumina Run, i.e. a description of the structure IlluminaBasecallsToSam assumes the data to be in. It should consist of integer/character pairs describing the number of cycles and the type of those cycles (B for Sample Barcode, M for molecular barcode, T for Template, and S for skip). E.g. If the input data consists of 80 base clusters and we provide a read structure of "28T8M8B8S28T" then the sequence may be split up into four reads: * read one with 28 cycles (bases) of template * read two with 8 cycles (bases) of molecular barcode (ex. unique molecular barcode) * read three with 8 cycles (bases) of sample barcode * 8 cycles (bases) skipped. * read four with 28 cycles (bases) of template The skipped cycles would NOT be included in an output SAM/BAM file or in read groups therein. | |
Optional Tool Arguments | |||
--arguments_file |
[] | read one or more arguments files and add them to the command line | |
--BARCODES_DIR -BCD |
null | The barcodes directory with _barcode.txt files (generated by ExtractIlluminaBarcodes). If not set, use BASECALLS_DIR. | |
--help -h |
false | display the help message | |
--INPUT -I |
null | The file containing barcodes to expect from the run - barcodeData.# | |
--OUTPUT -O |
null | The file to which the collected metrics are written | |
--version |
false | display the version number for this tool | |
Optional Common Arguments | |||
--COMPRESSION_LEVEL |
5 | Compression level for all compressed files created (e.g. BAM and VCF). | |
--CREATE_INDEX |
false | Whether to create a BAM index when writing a coordinate-sorted BAM file. | |
--CREATE_MD5_FILE |
false | Whether to create an MD5 digest for any BAM or FASTQ files created. | |
--GA4GH_CLIENT_SECRETS |
client_secrets.json | Google Genomics API client_secrets.json file path. | |
--MAX_RECORDS_IN_RAM |
500000 | When writing files that need to be sorted, this will specify the number of records stored in RAM before spilling to disk. Increasing this number reduces the number of file handles needed to sort the file, and increases the amount of RAM needed. | |
--QUIET |
false | Whether to suppress job-summary info on System.err. | |
--REFERENCE_SEQUENCE -R |
null | Reference sequence file. | |
--TMP_DIR |
[] | One or more directories with space available to be used by this program for temporary storage of working files | |
--USE_JDK_DEFLATER -use_jdk_deflater |
false | Use the JDK Deflater instead of the Intel Deflater for writing compressed output | |
--USE_JDK_INFLATER -use_jdk_inflater |
false | Use the JDK Inflater instead of the Intel Inflater for reading compressed input | |
--VALIDATION_STRINGENCY |
STRICT | Validation stringency for all SAM files read by this program. Setting stringency to SILENT can improve performance when processing a BAM file in which variable-length data (read, qualities, tags) do not otherwise need to be decoded. | |
--VERBOSITY |
INFO | Control verbosity of logging. | |
Advanced Arguments | |||
--showHidden |
false | display hidden arguments |
Arguments in this list are specific to this tool. Keep in mind that other arguments are available that are shared with other tools (e.g. command-line GATK arguments); see Inherited arguments above.
read one or more arguments files and add them to the command line
List[File] []
The barcodes directory with _barcode.txt files (generated by ExtractIlluminaBarcodes). If not set, use BASECALLS_DIR.
File null
The Illumina basecalls output directory from which data are read
R File null
Compression level for all compressed files created (e.g. BAM and VCF).
int 5 [ [ -∞ ∞ ] ]
Whether to create a BAM index when writing a coordinate-sorted BAM file.
Boolean false
Whether to create an MD5 digest for any BAM or FASTQ files created.
boolean false
Google Genomics API client_secrets.json file path.
String client_secrets.json
display the help message
boolean false
The file containing barcodes to expect from the run - barcodeData.#
File null
The lane whose data will be read
R Integer null
When writing files that need to be sorted, this will specify the number of records stored in RAM before spilling to disk. Increasing this number reduces the number of file handles needed to sort the file, and increases the amount of RAM needed.
Integer 500000 [ [ -∞ ∞ ] ]
The file to which the collected metrics are written
File null
Whether to suppress job-summary info on System.err.
Boolean false
A description of the logical structure of clusters in an Illumina Run, i.e. a description of the structure IlluminaBasecallsToSam assumes the data to be in. It should consist of integer/character pairs describing the number of cycles and the type of those cycles (B for Sample Barcode, M for molecular barcode, T for Template, and S for skip). E.g. If the input data consists of 80 base clusters and we provide a read structure of "28T8M8B8S28T" then the sequence may be split up into four reads:
* read one with 28 cycles (bases) of template
* read two with 8 cycles (bases) of molecular barcode (ex. unique molecular barcode)
* read three with 8 cycles (bases) of sample barcode
* 8 cycles (bases) skipped.
* read four with 28 cycles (bases) of template
The skipped cycles would NOT be included in an output SAM/BAM file or in read groups therein.
R String null
Reference sequence file.
File null
display hidden arguments
boolean false
One or more directories with space available to be used by this program for temporary storage of working files
List[File] []
Use the JDK Deflater instead of the Intel Deflater for writing compressed output
Boolean false
Use the JDK Inflater instead of the Intel Inflater for reading compressed input
Boolean false
Validation stringency for all SAM files read by this program. Setting stringency to SILENT can improve performance when processing a BAM file in which variable-length data (read, qualities, tags) do not otherwise need to be decoded.
The --VALIDATION_STRINGENCY argument is an enumerated type (ValidationStringency), which can have one of the following values:
ValidationStringency STRICT
Control verbosity of logging.
The --VERBOSITY argument is an enumerated type (LogLevel), which can have one of the following values:
LogLevel INFO
display the version number for this tool
boolean false
See also General Documentation | Tool Docs Index Tool Documentation Index | Support Forum
GATK version 4.0.11.0 built at 23-11-2018 02:11:49.