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10x Genomics
Chromium Single Cell Multiome ATAC + Gene Exp.

Generating FASTQs with cellranger-arc mkfastq

Table of Contents

Overview

The cellranger-arc workflow starts by demultiplexing the Illumina sequencer's base call files (BCLs) for each flow cell directory (ATAC or Gene Expression) into FASTQ files. 10x Genomics has developed cellranger-arc mkfastq, a pipeline that wraps Illumina's bcl2fastq and provides a number of convenient features in addition to the features of bcl2fastq:

The Multiome ATAC library is single-indexed while the Multiome GEX library is dual-indexed. cellranger-arc mkfastq can auto-detect the type of flow cell based on the length of the i5 index read and selects the appropriate mode depending on the sample indexes used, and enables index-hopping filtering automatically for dual-indexed flow cells. For example, a Multiome GEX library prepared with the Dual Index Kit TT Set A, well A1 can be specified in the samplesheet as SI-TT-A1, and cellranger-arc mkfastq will recognize the i7 and i5 indices as GTAACATGCG and AGTGTTACCT, respectively. Similarly for a Multiome ATAC library prepared with Single Index Kit N Set A, well A1 can be specified in the samplesheet as SI-NA-A1, and cellranger-arc mkfastq will recognize the four i7 indexes AAACGGCG, CCTACCAT, GGCGTTTC, and TTGTAAGA and merge the resulting FASTQ files.

Example workflows

The compute workflow begins with running one instance of cellranger-arc mkfastq for each flow cell of data being analyzed. The same command cellranger-arc mkfastq can be used to demultiplex ATAC and GEX flow cells. Once the ATAC flow cell(s) and GEX flow cell(s) are successfully demultiplexed, one instance of cellranger-arc count is run for each paired Multiome ATAC and GEX library; independent of the number of sequencing runs of each library. Specific examples are described below.

Multiome ATAC and GEX libraries

In this example, a Multiome ATAC library (with sample index SI-NA-A1) and a Multiome GEX library (with sample index SI-TT-A1) were processed on different flow cells. The GEX library was processed on lane 1 of its flow cell, whereas the ATAC library was processed on lane 2 of its flow cell. Then, a separate instance of cellranger-arc mkfastq is run for each library, and all resultant FASTQ files are processed though a single instance of cellranger-arc count.

Multiome ATAC libraries

In this example, one Multiome ATAC library with sample index SI-NA-A1 was sequenced on two flow cells. The cellranger-arc count pipeline cannot process ATAC libraries alone.

Multiome GEX libraries

In this example, two Multiome GEX libraries (each processed through a separate GEM well with sample indices SI-TT-A1 and SI-TT-A2) are multiplexed on a single flow cell. GEX Library 1 was processed on lane 1 and GEX Library 2 was processed on lane 2 of the same flow cell. The cellranger-arc count pipeline cannot process GEX libraries alone.

Arguments and options

The cellranger-arc mkfastq pipeline accepts additional options beyond those shown in the table below because it is a wrapper around bcl2fastq. Consult the User Guide for Illumina's bcl2fastq for more information.

ParameterFunction
--runRequired. The path of Illumina BCL run folder.
--idOptional; defaults to the name of the flow cell referred to by --run. Name of the folder created by mkfastq.
--samplesheetOptional. Path to an Illumina Experiment Manager-compatible samplesheet which contains 10x Genomics sample index names (e.g., SI-NA-A1 or SI-TT-A12) in the sample index column. All other information, such as sample names and lanes, should be in the samplesheet.
--sample-sheetOptional. Equivalent to --samplesheet above.
--csvOptional. Path to a simple CSV with lane, sample, and index columns, which describe the way to demultiplex the flow cell. The index column should contain a 10x Genomics sample dual-index name (e.g., SI-TT-A12). This is an alternative to the Illumina IEM samplesheet, and will be ignored if --samplesheet is specified.
--simple-csvOptional. Equivalent to --csv above.
--lanesbcl2fastq option. Comma-delimited series of lanes to demultiplex (e.g. 1,3). Use this if you have a samplesheet for an entire flow cell but only want to generate a few lanes for further 10x Genomics analysis.
--use-bases-maskbcl2fastq option. Same meaning as for bcl2fastq. Use to clip extra bases off a read if you ran extra cycles for QC.
--delete-undeterminedbcl2fastq option. Delete the Undetermined FASTQs generated by bcl2fastq. Useful if you are demultiplexing a small number of samples from a large flow cell.
--output-dirbcl2fastq option. Generate FASTQ output in a path of your own choosing, instead of flow_cell_id/outs/fastq_path.
--projectbcl2fastq option. Custom project name, to override the samplesheet or to use in conjunction with the --csv argument.
--jobmodeMartian option. Job manager to use. Valid options: local (default), sge, lsf, slurm or a .template file.
--localcoresMartian option. Set max cores the pipeline may request at one time. Only applies when --jobmode=local.
--localmemMartian option. Set max GB the pipeline may request at one time. Only applies when --jobmode=local.

Example data

The cellranger-arc mkfastq pipeline recognizes two file formats for describing samples: a simple, three-column CSV format, and the Illumina Experiment Manager (IEM) samplesheet format used by bcl2fastq. Both these formats are illustrated with a Multiome ATAC flow cell and Multiome GEX flow cell example.

The example (tiny-bcl-atac) dataset is solely designed to demo the cellranger-arc mkfastq pipeline. It cannot be used to run downstream pipelines (e.g. cellranger-arc count).

To follow along, do the following:

  1. Download the tiny-bcl-atac tar file and tiny-bcl-gex tar file.
  2. Untar both the cellranger-arc-tiny-bcl-atac-1.0.0.tar.gz and cellranger-arc-tiny-bcl-gex-1.0.0.tar.gz tar files in a convenient location.
  3. Download the simple CSV layout files: cellranger-arc-tiny-bcl-atac-simple-1.0.0.csv and cellranger-arc-tiny-bcl-gex-simple-1.0.0.csv.
  4. Download the Illumina Experiment Manager samplesheets: cellranger-arc-tiny-bcl-atac-samplesheet-1.0.0.csv and cellranger-arc-tiny-bcl-gex-samplesheet-1.0.0.csv.

Running mkfastq with a simple CSV samplesheet

A simple CSV sample sheet is recommended for most sequencing experiments. The simple CSV format has only three columns (Lane, Sample, Index), and is thus less prone to formatting errors. You can see an example of this in cellranger-arc-tiny-bcl-atac-simple-1.0.0.csv:

Lane,Sample,Index
1,test_sample_atac,SI-NA-A1

and in cellranger-arc-tiny-bcl-gex-simple-1.0.0.csv:

Lane,Sample,Index
1,test_sample_gex,SI-TT-A1

Here are the options for each column:

LaneWhich lane(s) of the flow cell to process. Can be either a single lane, a range (e.g., 2-4) or '*' for all lanes in the flow cell.
SampleThe name of the sample. This name is the prefix to all the generated FASTQs, and corresponds to the --sample argument in all downstream 10x Genomics pipelines.
Sample names must conform to the Illumina bcl2fastq naming requirements. Only letters, numbers, underscores and hyphens area allowed; no other symbols, including dots (".") are allowed.
IndexThe 10x Genomics sample index that was used in library construction, e.g., SI-TT-A1 for a Dual-Indexed Multiome GEX library, or SI-NA-A1 for a Multiome ATAC library.

To run cellranger mkfastq with a simple layout CSV, use the --csv argument. Here's how to run cellranger mkfastq on the tiny-bcl-atac sequencing run with the simple layout:

$ cellranger-arc mkfastq --id=tiny-bcl-atac \
                     --run=/path/to/cellranger-arc-tiny-bcl-atac-1.0.0 \
                     --csv=/path/to/cellranger-arc-tiny-bcl-atac-simple-1.0.0.csv
 
cellranger-arc mkfastq (2.0.1)
Copyright (c) 2020 10x Genomics, Inc.  All rights reserved.
-------------------------------------------------------------------------------

 
Martian Runtime - v4.0.5
Running preflight checks (please wait)...
yyyy-mm-dd hh:mm:ss [runtime] (ready)           ID.tiny-bcl-atac.MAKE_FASTQS_CS.MAKE_FASTQS.PREPARE_SAMPLESHEET
yyyy-mm-dd hh:mm:ss [runtime] (split_complete)  ID.tiny-bcl-atac.MAKE_FASTQS_CS.MAKE_FASTQS.PREPARE_SAMPLESHEET
yyyy-mm-dd hh:mm:ss [runtime] (run:local)       ID.tiny-bcl-atac.MAKE_FASTQS_CS.MAKE_FASTQS.PREPARE_SAMPLESHEET.fork0.chnk0.main
yyyy-mm-dd hh:mm:ss [runtime] (chunks_complete) ID.tiny-bcl-atac.MAKE_FASTQS_CS.MAKE_FASTQS.PREPARE_SAMPLESHEET
...

Running mkfastq with an Illumina Experiment Manager sample sheet

The cellranger-arc mkfastq pipeline can also be run with a sample sheet in the Illumina Experiment Manager (IEM) format. Use this format if you did not sequence with sample indices. An IEM sample sheet consists of a number of fields specific to running on Illumina platforms, and a [Data] section. The sample, lane and index information goes in the [Data] section.

Example [Data] section for a dual-indexed Multiome GEX flow cell:

[Data]
Lane,Sample_ID,Sample_Name,Sample_Plate,Sample_Well,I7_Index_ID,index,I5_Index_ID,index2,Sample_Project,Description
1,s1,test_sample,,,SI-TT-A1,SI-TT-A1,SI-TT-A1,SI-TT-A1,p1,

Here, SI-TT-A1 refers to a 10x Genomics dual-indexed library sample index. In this example, only reads from lane 1 will be used. To demultiplex the given sample index across all lanes, omit the lanes column entirely.

Example [Data] section for a single-indexed Multiome ATAC flow cell:

[Data]
Sample_ID,Sample_Name,Sample_Plate,Sample_Well,I7_Index_ID,index,Sample_Project,Description
s1,test_sample_miseq,,,SI-NA-A1,SI-NA-A1,p1,

Here, SI-NA-A1 refers to a 10x Genomics single-indexed sample index, a set of four oligo sequences. cellranger-arc mkfastq also supports listing oligo sequences explicitly.

Sample names must conform to the Illumina bcl2fastq naming requirements. Only letters, numbers, underscores, and hyphens are allowed. No other symbols, including dots ("."), are allowed.

Also note that while an authentic IEM samplesheet will contain other sections above the [Data] section, these are optional for demultiplexing. For demultiplexing an existing run with cellranger-arc mkfastq, only the [Data] section is required.

Next, run the cellranger-arc mkfastq pipeline, using the --samplesheet argument:

$ cellranger-arc mkfastq --id=tiny-bcl-atac \
                     --run=/path/to/tiny-bcl-atac \
                     --samplesheet=cellranger-arc-tiny-bcl-atac-samplesheet-1.0.0.csv
 
cellranger-arc mkfastq (2.0.1)
Copyright (c) 2020 10x Genomics, Inc.  All rights reserved.
-------------------------------------------------------------------------------

 
Martian Runtime - v4.0.5
Running preflight checks (please wait)...
yyyy-mm-dd hh:mm:ss [runtime] (ready)           ID.tiny-bcl-atac.MAKE_FASTQS_CS.MAKE_FASTQS.PREPARE_SAMPLESHEET
yyyy-mm-dd hh:mm:ss [runtime] (split_complete)  ID.tiny-bcl-atac.MAKE_FASTQS_CS.MAKE_FASTQS.PREPARE_SAMPLESHEET
yyyy-mm-dd hh:mm:ss [runtime] (run:local)       ID.tiny-bcl-atac.MAKE_FASTQS_CS.MAKE_FASTQS.PREPARE_SAMPLESHEET.fork0.chnk0.main
yyyy-mm-dd hh:mm:ss [runtime] (chunks_complete) ID.tiny-bcl-atac.MAKE_FASTQS_CS.MAKE_FASTQS.PREPARE_SAMPLESHEET
...

If you encounter any preflight errors, refer to the Troubleshooting page.

Checking FASTQ Output

Once the cellranger-arc mkfastq pipeline has successfully completed, the output can be found in a new folder named with the value provided to cellranger-arc mkfastq in the --id option (if not specified, defaults to the name of the flow cell):

$ cellranger-arc mkfastq --id=tiny-bcl-atac \
                     --run=/path/to/tiny-bcl-atac \
                     --samplesheet=cellranger-arc-tiny-bcl-atac-samplesheet-1.0.0.csv
 
cellranger-arc mkfastq (2.0.1)
Copyright (c) 2020 10x Genomics, Inc.  All rights reserved.
-------------------------------------------------------------------------------

 
Martian Runtime - v4.0.5
 
...
 
Pipestance completed successfully!
 
yyyy-mm-dd hh:mm:ss Shutting down.
Saving pipestance info to "tiny-bcl-atac/tiny-bcl-atac.mri.tgz"
 
$ ls -l
drwxrwxr-x 4 jdoe jdoe      4096 Aug 29 15:29 tiny-bcl-atac

The key output files can be found in outs/fastq_path, and are organized in the same manner as a conventional bcl2fastq run:

$ ls -l tiny-bcl-atac/outs/fastq_path/
total 31744
drwxrwxr-x 3 jdoe jdoe       24 Sep  7 22:49 p1
drwxrwxr-x 3 jdoe jdoe       26 Sep  7 22:48 Reports
drwxrwxr-x 2 jdoe jdoe      193 Sep  7 22:48 Stats
-rw-rw-r-- 1 jdoe jdoe  3806257 Sep  7 22:48 Undetermined_S0_L001_I1_001.fastq.gz
-rw-rw-r-- 1 jdoe jdoe   967448 Sep  7 22:48 Undetermined_S0_L001_R1_001.fastq.gz
-rw-rw-r-- 1 jdoe jdoe  5773976 Sep  7 22:48 Undetermined_S0_L001_R2_001.fastq.gz
-rw-rw-r-- 1 jdoe jdoe 12635207 Sep  7 22:48 Undetermined_S0_L001_R3_001.fastq.gz
 
$ tree tiny-bcl-atac/outs/fastq_path/tiny-bcl-atac/
tiny-bcl-atac/outs/fastq_path/p1
└── s1
    ├── test_sample_miseq_S1_L001_I1_001.fastq.gz
    ├── test_sample_miseq_S1_L001_R1_001.fastq.gz
    ├── test_sample_miseq_S1_L001_R2_001.fastq.gz
    └── test_sample_miseq_S1_L001_R3_001.fastq.gz

This example was produced with a samplesheet that included p1 as the Sample_Project, so the directory containing the sample folders is named p1. If a Sample_Project wasn't specified, or if a simple layout CSV file was used (which does not have a Sample_Project column), the directory containing the sample folders would be named according to the flow cell ID instead.

To remove the Undetermined FASTQs from the output, you can run mkfastq with the --delete-undetermined flag. To see all cellranger-arc mkfastq options, run cellranger-arc mkfastq --help.

Troubleshooting

If the pipeline crashes while running cellranger-arc mkfastq, upload this tarball (with the extension .mri.tgz) found in your output directory:

cellranger-arc upload [email protected]
jobid.mri.tgz

where jobid is what you input into the --id option of mkfastq (if not specified, defaults to the ID of the flow cell). Remember to replace the code in red with your email ID.

This tarball contains numerous diagnostic logs that we can use for debugging.

You will receive an automated email from 10x Genomics. If not, email [email protected] For the fastest service, respond with the following:

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