This repository has Snakefiles for common RNA-seq data analysis workflows. Please feel free to copy them and modify them to suit your needs.
# Copy the files git clone https://github.com/slowkow/snakefiles.git # Go to the kallisto directory cd snakefiles/kallisto # Run snakemake snakemake
This repository includes 6 FASTQ files in data/fastq/ to illustrate the usage of each of the RNA-seq workflows.
Sample1.R1.fastq.gzhas the first mates of sequenced fragments.
Sample1.R2.fastq.gzhas the second mates of sequenced fragments.
- The first mate reads (R1), split across two files (L1 and L2). Some software such as STAR requires these reads to be merged into one file.
- Likewise, the second mate reads (R2) are also split across two files
(L1 and L2). To make matters worse,
Sample2.L2.R2.fastq.gzhas only 2000 reads, whereas
Sample2.L2.R1.fastq.gzhas 2500 reads. The Snakefiles in this repository can handle this without any problems.
- Likewise, the second mate reads (R2) are also split across two files (L1 and L2). To make matters worse,
- make_samples.py creates the samples.json file.
- bsub.py receives job scripts from Snakemake and automatically submits them to an appropriate LSF queue based on job requirements.
Quantify gene isoform expression in transcripts per million (TPM) with kallisto and collate outputs from multiple samples into one file.
Execute a multi-sample 2-pass STAR alignment, sharing the splice junctions across samples. Count fragments per gene and fragments per splice site. Also produce a BAM file with coordinates relative to transcripts. Quantify transcripts in TPM with eXpress. Collate outputs from multiple samples.
Please submit an issue to report bugs or ask questions.
Please contribute bug fixes or new features with a pull request to this repository.