×

Nextflow Modules

Clear

Showing module(s) with keyword "rnaseq"

Module Keywords Description
nf-core/anota2seq/anota2seqrun riboseq rnaseq translation differential Generally applicable transcriptome-wide analysis of translational efficiency using anota2seq
nf-core/ctatsplicing/prepgenomelib splicing cancer rna rnaseq Reference preparation for CTAT-splicing
nf-core/ctatsplicing/startocancerintrons splicing cancer rna rnaseq Detection and annotation of aberrant splicing isoforms in cancer transcriptomes
nf-core/custom/multiqccustombiotype biotype featurecounts multiqc rnaseq qc Generate MultiQC-compatible biotype count summaries from featureCounts output
nf-core/dupradar rnaseq duplication genomics Assessment of duplication rates in RNA-Seq datasets
nf-core/lsa/cosine similarity cosine clustering rnaseq heatmap Calculates the cosine similarity matrix between samples based on a gene expression matrix.
nf-core/portcullis/full rnaseq genome splice junction Run all Portcullis steps in one go
nf-core/qualimap/rnaseq quality control qc rnaseq Evaluate alignment data
nf-core/rnaquast rna assembly rnaseq de novo quality control Assess the quality of an RNAseq assembly with or without a reference genome
nf-core/rseqc/inferexperiment rnaseq strandedness experiment Infer strandedness from sequencing reads
nf-core/rseqc/junctionannotation junctions splicing rnaseq compare detected splice junctions to reference gene model
nf-core/rseqc/junctionsaturation junctions splicing rnaseq compare detected splice junctions to reference gene model
nf-core/rseqc/readdistribution read distribution genomics rnaseq Calculate how mapped reads are distributed over genomic features
nf-core/rseqc/readduplication rnaseq duplication sequence-based mapping-based Calculate read duplication rate
nf-core/rseqc/splitbam bam split rnaseq quality control Split BAM file based on gene list in BED format
nf-core/rseqc/tin rnaseq transcript integrity Calculate TIN (transcript integrity number) from RNA-seq reads
nf-core/rustqc rnaseq quality control qc bam dupradar featurecounts rseqc preseq qualimap samtools All-in-one RNA-seq post-alignment QC replacing dupRadar, featureCounts biotype QC, RSeQC, Preseq, Qualimap, and SAMtools stats
nf-core/shinyngs/staticdifferential rnaseq plot differential shinyngs Make plots for interpretation of differential abundance statistics
nf-core/variancepartition/dream rnaseq dream variancepartition Runs a differential expression analysis with dream() from variancePartition R package
nf-core/velocyto count rnaseq rna velocity bam Velocyto is a library for the analysis of RNA velocity. velocyto.py CLI use `Path(resolve_path=True)` and breaks the nextflow logic of symbolic links. If in the work dir velocyto find a file named EXACTLY `cellsorted_[ORIGINAL_BAM_NAME]` it will skip the samtools sort step. Cellsorted bam file should be cell sorted with: ```bash samtools sort -t CB -O BAM -o cellsorted_input.bam input.bam ``` See module test for an example with the SAMTOOLS_SORT nf-core module. Config example to cellsort input bam using SAMTOOLS_SORT: ```groovy withName: SAMTOOLS_SORT { ext.prefix = { "cellsorted_${bam.baseName}" } ext.args = '-t CB -O BAM' } ``` Optional mask must be passed with `ext.args` and option `--mask` This is why I need to stage in the work dir 2 bam files (cellsorted and original). See also [velocyto tutorial](https://velocyto.org/velocyto.py/tutorial/cli.html#notes-on-first-runtime-and-parallelization)