nf-core/rnaseq

Path to comma-separated file containing information about the samples in the experiment.

The output directory where the results will be saved. You have to use absolute paths to storage on Cloud infrastructure.

Email address for completion summary.

MultiQC report title. Printed as page header, used for filename if not otherwise specified.

Save FastQ files after merging re-sequenced libraries in the results directory.

Enable UMI-based read deduplication.

UMI pattern to use. Can be either ‘string’ (default) or ‘regex’.

Skip the UMI extraction from the read in case the UMIs have been moved to the headers in advance of the pipeline run.

The UMI barcode pattern to use e.g. ‘NNNNNN’ indicates that the first 6 nucleotides of the read are from the UMI.

After UMI barcode extraction discard either R1 or R2 by setting this parameter to 1 or 2, respectively.

If this option is specified, intermediate FastQ and BAM files produced by UMI-tools are also saved in the results directory.

Path to comma-separated file containing a list of reference genomes to filter reads against with BBSplit. You have to also explicitly set --skip_bbsplit false if you want to use BBSplit.

Path to directory or tar.gz archive for pre-built BBSplit index.

If this option is specified, FastQ files split by reference will be saved in the results directory.

Skip BBSplit for removal of non-reference genome reads.

Enable the removal of reads derived from ribosomal RNA using SortMeRNA.

Text file containing paths to fasta files (one per line) that will be used to create the database for SortMeRNA.

If this option is specified, intermediate FastQ files containing non-rRNA reads will be saved in the results directory.

Name of iGenomes reference.

Path to FASTA genome file.

Path to GTF annotation file.

Path to GFF3 annotation file.

Path to BED file containing gene intervals. This will be created from the GTF file if not specified.

Path to FASTA transcriptome file.

FASTA file to concatenate to genome FASTA file e.g. containing spike-in sequences.

Splice sites file required for HISAT2.

Path to directory or tar.gz archive for pre-built STAR index.

Path to directory or tar.gz archive for pre-built HISAT2 index.

Path to directory or tar.gz archive for pre-built RSEM index.

Path to directory or tar.gz archive for pre-built Salmon index.

Minimum memory required to use splice sites and exons in the HiSAT2 index build process.

Specify if your GTF annotation is in GENCODE format.

By default, the pipeline uses the gene_name field to obtain additional gene identifiers from the input GTF file when running Salmon.

Define the attribute type used to group features in the GTF file when running Salmon.

The attribute type used to group feature types in the GTF file when generating the biotype plot with featureCounts.

By default, the pipeline assigns reads based on the ‘exon’ attribute within the GTF file.

If generated by the pipeline save the STAR index in the results directory.

Instructs Trim Galore to remove bp from the 5’ end of read 1 (or single-end reads).

Instructs Trim Galore to remove bp from the 5’ end of read 2 (paired-end reads only).

Instructs Trim Galore to remove bp from the 3’ end of read 1 AFTER adapter/quality trimming has been performed.

Instructs Trim Galore to remove bp from the 3’ end of read 2 AFTER adapter/quality trimming has been performed.

Instructs Trim Galore to apply the —nextseq=X option, to trim based on quality after removing poly-G tails.

Skip the adapter trimming step.

Save the trimmed FastQ files in the results directory.

Specifies the alignment algorithm to use - available options are ‘star_salmon’, ‘star_rsem’ and ‘hisat2’.

Specifies the pseudo aligner to use - available options are ‘salmon’. Runs in addition to ‘—aligner’.

Create a CSI index for BAM files instead of the traditional BAI index. This will be required for genomes with larger chromosome sizes.

When using pre-built STAR indices do not re-extract and use splice junctions from the GTF file.

Override Salmon library type inferred based on strandedness defined in meta object.

Minimum percentage of uniquely mapped reads below which samples are removed from further processing.

Sequencing center information to be added to read group of BAM files.

Perform reference-guided de novo assembly of transcripts using StringTie i.e. dont restrict to those in GTF file.

Where possible, save unaligned reads from either STAR, HISAT2 or Salmon to the results directory.

Save the intermediate BAM files from the alignment step.

Skip picard MarkDuplicates step.

Skip all of the alignment-based processes within the pipeline.

Specify the RSeQC modules to run.

Use vst transformation instead of rlog with DESeq2.

Skip bigWig file creation.

Skip StringTie.

Skip FastQC.

Skip Preseq.

Skip dupRadar.

Skip Qualimap.

Skip RSeQC.

Skip additional featureCounts process for biotype QC.

Skip DESeq2 PCA and heatmap plotting.

Skip MultiQC.

Skip all QC steps except for MultiQC.