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Скачать или смотреть Fixing Snakemake Syntax Errors for fastqc and Trimming in RNA-seq Data Pipelines

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  • 2025-12-23
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Fixing Snakemake Syntax Errors for fastqc and Trimming in RNA-seq Data Pipelines
fastqc and trimming for rnseq databioinformaticssnakemakerna-seq
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Описание к видео Fixing Snakemake Syntax Errors for fastqc and Trimming in RNA-seq Data Pipelines

Learn how to resolve common Snakemake syntax issues in RNA-seq workflows, focusing on FastQC quality checks and Trimmomatic trimming rules with best practices.
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This video is based on the question https://stackoverflow.com/q/79469295/ asked by the user 'bioinfonext' ( https://stackoverflow.com/u/11926051/ ) and on the answer https://stackoverflow.com/a/79482493/ provided by the user 'ManJi' ( https://stackoverflow.com/u/18697017/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: fastqc and trimming for rnseq data

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to drop me a comment under this video.
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Introduction

Building a reproducible RNA-seq data processing pipeline with Snakemake involves defining rules for tasks like quality control (FastQC) and read trimming (Trimmomatic). However, syntax errors in the Snakefile can block execution and are often due to small mistakes in how shell commands and parameters are specified.

This guide addresses a common syntax error in a Snakemake Snakefile involving FastQC and trimming rules, explaining how to fix it and modernize your workflow.



Problem Description

You have a Snakefile defining rules for running FastQC on raw and trimmed reads, and a Trimmomatic rule for paired-end trimming. When running, you encounter a syntax error pointing to the line with the shell command inside the fastqc_trimmed rule:

[[See Video to Reveal this Text or Code Snippet]]



Root Cause and Solution

Common Issues

Shell commands must be strings: Snakemake expects the command under shell: to be a quoted string (either single or double quotes).

Parameter referencing: You should not wrap the shell command without quotes or try to evaluate bare variables.

Use of params.threads: Snakemake has a built-in threads directive, no need to define threads inside params.

Correcting the shell Directive

Instead of writing:

[[See Video to Reveal this Text or Code Snippet]]

It should be:

[[See Video to Reveal this Text or Code Snippet]]

Here, threads is declared as a directive. In the shell string, {threads} is automatically replaced by the value. Quotes around the shell command ensure it is a valid string.

Full Example of a Corrected fastqc Rule

[[See Video to Reveal this Text or Code Snippet]]

Similarly Fix Other Rules

Replace params.threads with the threads directive.

Ensure all shell: commands are enclosed in quotes.



Additional Tips for Learning Snakemake

Official documentation: https://snakemake.readthedocs.io is comprehensive and has many examples.

Workflows and guides: Check online guides focusing on RNA-seq pipelines.

Use snakemake --lint and snakemake --rulegraph to debug and visualize workflows.

Incrementally test rules to isolate syntax or runtime errors.



Summary

Always enclose the shell command in quotes in Snakemake rules.

Use the built-in threads directive instead of passing threads via params.

Validate and test small portions of your Snakefile before scaling.

By applying these corrections, your RNA-seq preprocessing pipeline involving FastQC quality checks and Trimmomatic trimming should run without syntax errors and follow best practices for maintainability.

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