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*[#147](https://github.com/nf-core/eager/pull/147) - Fix Samtools Index for [large references](https://github.com/nf-core/eager/issues/146)
Copy file name to clipboardExpand all lines: README.md
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## Quick Start
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1. Install [`nextflow`](docs/installation.md)
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2. Install one of [`docker`](https://docs.docker.com/engine/installation/), [`singularity`](https://www.sylabs.io/guides/3.0/user-guide/) or [`conda`](https://conda.io/miniconda.html)
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3. Download the EAGER pipeline
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```bash
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nextflow pull nf-core/eager
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```
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4.Set up your job with default parameters
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4.Test the pipeline using the provided test data
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```bash
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nextflow run nf-core -profile <docker/singularity/conda> --reads'*_R{1,2}.fastq.gz' --fasta '<REFERENCE>.fasta'
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nextflow run nf-core/eager -profile <docker/singularity/conda>,test --pairedEnd
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```
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5. See the overview of the run with under `<OUTPUT_DIR>/MultiQC/multiqc_report.html`
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5. Start running your own ancient DNA analysis!
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```bash
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nextflow run nf-core/eager -profile <docker/singularity/conda> --reads'*_R{1,2}.fastq.gz' --fasta '<REFERENCE>.fasta'
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```
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NB. You can see an overview of the run in the MultiQC report located at `<OUTPUT_DIR>/MultiQC/multiqc_report.html`
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Modifications to the default pipeline are easily made using various options
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as described in the documentation.
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contribute, please open an issue and ask to be added to the project - happy to
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do so and everyone is welcome to contribute here!
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## Contributors
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-[James A. Fellows-Yates](https://github.com/jfy133)
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@@ -170,6 +170,10 @@ If you prefer, you can specify the full path to your reference genome when you r
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```
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> If you don't specify appropriate `--bwa_index`, `--fasta_index` parameters, the pipeline will create these indices for you automatically. Note, that saving these for later has to be turned on using `--saveReference`. You may also specify the path to a gzipped (`*.gz` file extension) FastA as reference genome - this will be uncompressed by the pipeline automatically for you. Note that other file extensions such as `.fna`, `.fa` are also supported but will be renamed to `.fasta` automatically by the pipeline.
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### `--large_ref`
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This parameter is required to be set for large reference genomes. If your reference genome is larger than 3.5GB, the `samtools index` calls in the pipeline need to generate `CSI` indices instead of `BAI` indices to accompensate for the size of the reference genome. This parameter is not required for smaller references (including a human `hg19` or `grch37`/`grch38` reference), but `>4GB` genomes have been shown to need `CSI` indices.
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### `--genome` (using iGenomes)
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The pipeline config files come bundled with paths to the illumina iGenomes reference index files. If running with docker or AWS, the configuration is set up to use the [AWS-iGenomes](https://ewels.github.io/AWS-iGenomes/) resource.
file "*.sorted.bam" into ch_bwamem_mapped_reads_idxstats,ch_bwamem_mapped_reads_filter,ch_bwamem_mapped_reads_preseq, ch_bwamem_mapped_reads_damageprofiler
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