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If you would like example data, please run the script 'PullData.sh' in Setup/ Additionally, if you are running this on a cluster, please remember to add your module load commands to the scripts. Alternatively, a conda environment could be used. ## Next-Generation Sequencing Upstream Analysis ## -- Step 1: QC -- Usage: The scripts are designed to be run in alphabetical order. For optional steps, a seperate _skip.sh script is available if the user choose not to run a certain step. Setup: Conda environment file (environment.yml) is available in Setup/ To create ngs environment: conda env create -f environment.yml Input: Raw sequence (.fastq) files in Input_data/ Workflow: 1. A_RunCheck.sh (then enter either single_end/ or paired_end/) 2. B_RunFastqAndStats.sh 3. C_RunTrimmomaticAndSickle.sh 4. D_RunRemoveSpike.sh or D_skip.sh 5. E_RunRemoveHost.sh or E_skip.sh 6. F_RunRemoveRNA.sh or F_skip.sh 7. G_RunStats.sh 8. H_CopyResults.sh 9. I_PostQCfastq.sh (optional) Output: cleaned sequence files (.fq) and QC stats (stats.txt, finalstats.txt) in final_QC_output/
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Pipeline for Next-Generation Sequencing Upstream Processing, adapted from BIOS60132 Applied Bioinformatics Course
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