Page Comparison

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GitHub: https://github.com/nf-core/rnaseq

Pipeline Summary

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• Preprocessing

  • FastQC - Raw read QC

  • UMI-tools extract - UMI barcode extraction

  • TrimGalore - Adapter and quality trimming

  • SortMeRNA - Removal of ribosomal RNA (optional)

• Alignment and quantification

  • STAR and Salmon - Fast spliced aware genome alignment and transcriptome quantification

  • STAR via RSEM  - Alignment and quantification of expression levels

  • HISAT2  - Memory efficient splice aware alignment to a reference

• Alignment post-processing

  • SAMtools - Sort and index alignments

  • UMI-tools dedup - UMI-based deduplication

  • picard MarkDuplicates - Duplicate read marking

• Other steps

  • StringTie - Transcript assembly and quantification

  • BEDTools and bedGraphToBigWig - Create bigWig coverage files

• Quality control

  • RSeQC - Various RNA-seq QC metrics

  • Qualimap - Various RNA-seq QC metrics

  • dupRadar - Assessment of technical/biological read duplication

  • Preseq - Estimation of library complexity

  • featureCounts - Read counting relative to gene biotype

  • DESeq2 - PCA plot and sample pairwise distance heatmap and dendrogram

  • MultiQC - Present QC for raw reads, alignment, read counting, and sample similarity

• Pseudo-alignment and quantification

  • Salmon - Wicked fast gene and isoform quantification relative to the transcriptome

• Workflow reporting and genomes

  • Reference genome files - Saving reference genome indices/files

  • Pipeline information - Report metrics generated during the workflow execution

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