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# Cellranger count Astrocyte pipeline
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## Introduction
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This is an Astrocyte workflow to run Cellranger count to generate cell-by-gene
matrices from fastq files generated from 10x Genomics scRNA sequencing runs.
Like other Astrocyte workflows, this workflow uses Nextflow, a bioinformatics
workflow and pipeline development tool. 
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This workflow runs cellranger version 7.0.1 using user provided fastq files
derived from single cell sequencing data using the 10x Genomics platform. 
Output are standard cellranger outputs, including a cell-by-gene matrix in 
both MTX and h5 formats, a summary of the run in an HTML output, and a BAM
file of aligned reads. These outputs can then be used for downstream analysis.
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- Sample: The name of the sample. This should match the sample 
name of the fastq files.
- Fastq: The fastq files for the sample. Regardless of the files that are
selected, only those matching the sample name will be included.
- Reference: Which reference genome to use. Current choices are 
hg38 and mm10.
- expectCells: How many cells are expected to be present. Leave at 
the default (0) to automatically estimate. This may be manually set if
the estimate is inaccurate.
- Chemistry: The chemistry used to create the library. Automatic detection
is recommended, but if the library chemistry is **3'v1** or **multiome GEX**, 
you must set these manually.
- Introns: Should intronic reads be counted? Recommended to 
keep true. Note that this **must** be true to process data from single nucleus
suspensions.
- noBam: Should the pipeline skip generating a bam file?
Bam file generation is recommended, but it may be skipped to reduce file 
size output and speed up processing time.
## Questions

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Please reach out to the workflow maintainer (john.lafin@utsouthwestern.edu)
with any questions.