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v4 May 2023
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[Link to wiki page](https://github.com/gladstone-institutes/Bioinformatics-Workshops/wiki/Introduction-to-RNA-Seq-Analysis)
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### Description of files
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- Single_read.fastq (fastq file with a single read to understand the fastq file format)
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- Bacteria_GATTACA_L001_R1_001.fastq (single-end small practice data with 100k reads for the demo in the workshop)
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- Adapter_Sequence.fasta (fasta file with adapter sequence for demo with cutadapt)
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- rDNA_sequence.fasta (fasta file with the reference genome sequence for demo with STAR aligner)
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- rDNA.gtf (GTF file with the annotations for demo with featureCounts)
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- all_steps_wynton.sh (shell script for running all the analysis steps on UCSF Wynton command-line interface using the practice data provided)
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- steps_on_wynton_session1.txt (text file with steps used on wynton to download/uplaod files, change directories etc in session 1)
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- steps_on_wynton_session2.txt (text file with steps used on wynton to download/uplaod files, change directories etc in session 2)
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- all_steps_docker_desktop.sh (shell script for running all the analysis steps using Docker Desktop and the practice data provided)
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1. Single_read.fastq (fastq file with a single read to understand the fastq file format)
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2. Bacteria_GATTACA_L001_R1_001.fastq (single-end small practice data with 100k reads for the demo in the workshop)
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3. Adapter_Sequence.fasta (fasta file with adapter sequence for demo with cutadapt)
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4. rDNA_sequence.fasta (fasta file with the reference genome sequence for demo with STAR aligner)
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5. rDNA.gtf (GTF file with the annotations for demo with featureCounts)
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6. all_steps_wynton.sh (shell script for running all the analysis steps on UCSF Wynton command-line interface using the practice data provided)
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7. steps_on_wynton_part1.txt (text file with steps used on wynton to setup the folders, upload the data and create a singularity container)
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8. steps_on_wynton_part2.txt (text file with steps used on wynton to run the bulk RNA-seq analysis using the demo files)
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9. all_steps_docker_desktop.sh (shell script with commands for running all the analysis steps using Docker Desktop and the demo files)
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