nf-core/rnaseq
RNA sequencing analysis pipeline using STAR, RSEM, HISAT2 or Salmon with gene/isoform counts and extensive quality control.
3.8). The latest
stable release is
3.19.0
.
Define where the pipeline should find input data and save output data.
Path to comma-separated file containing information about the samples in the experiment.
string^\S+\.csv$You will need to create a design file with information about the samples in your experiment before running the pipeline. Use this parameter to specify its location. It has to be a comma-separated file with 4 columns, and a header row. See usage docs.
The output directory where the results will be saved. You have to use absolute paths to storage on Cloud infrastructure.
stringEmail address for completion summary.
string^([a-zA-Z0-9_\-\.]+)@([a-zA-Z0-9_\-\.]+)\.([a-zA-Z]{2,5})$Set this parameter to your e-mail address to get a summary e-mail with details of the run sent to you when the workflow exits. If set in your user config file (~/.nextflow/config) then you don't need to specify this on the command line for every run.
MultiQC report title. Printed as page header, used for filename if not otherwise specified.
stringSave FastQ files after merging re-sequenced libraries in the results directory.
booleanOptions for processing reads with unique molecular identifiers
Enable UMI-based read deduplication.
booleanUMI pattern to use. Can be either 'string' (default) or 'regex'.
stringstringMore details can be found in the UMI-tools documentation.
Skip the UMI extraction from the read in case the UMIs have been moved to the headers in advance of the pipeline run.
booleanThe UMI barcode pattern to use e.g. 'NNNNNN' indicates that the first 6 nucleotides of the read are from the UMI.
stringMore details can be found in the UMI-tools documentation.
Generate output stats when running "umi_tools dedup".
booleanIt can be quite time consuming generating these output stats - see #827.
After UMI barcode extraction discard either R1 or R2 by setting this parameter to 1 or 2, respectively.
integerIf this option is specified, intermediate FastQ and BAM files produced by UMI-tools are also saved in the results directory.
booleanOptions for filtering reads prior to alignment
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.
stringThe file should contain 2 columns: short name and full path to reference genome(s) e.g.
mm10,/path/to/mm10.fa
ecoli,/path/to/ecoli.fa
Path to directory or tar.gz archive for pre-built BBSplit index.
stringThe BBSplit index will have to be built at least once with this pipeline (see --save_reference to save index). It can then be provided via --bbsplit_index for future runs.
If this option is specified, FastQ files split by reference will be saved in the results directory.
booleanSkip BBSplit for removal of non-reference genome reads.
booleantrueEnable the removal of reads derived from ribosomal RNA using SortMeRNA.
booleanAny patterns found in the sequences defined by the '--ribo_database_manifest' parameter will be used.
Text file containing paths to fasta files (one per line) that will be used to create the database for SortMeRNA.
string${projectDir}/assets/rrna-db-defaults.txtBy default, rRNA databases defined in the SortMeRNA GitHub repo are used. You can see an example in the pipeline Github repository in assets/rrna-default-dbs.txt.
Please note that commercial/non-academic entities require licensing for SILVA for these default databases.
If this option is specified, intermediate FastQ files containing non-rRNA reads will be saved in the results directory.
booleanReference genome related files and options required for the workflow.
Name of iGenomes reference.
stringIf using a reference genome configured in the pipeline using iGenomes, use this parameter to give the ID for the reference. This is then used to build the full paths for all required reference genome files e.g. --genome GRCh38.
See the nf-core website docs for more details.
Path to FASTA genome file.
string^\S+\.fn?a(sta)?(\.gz)?$This parameter is mandatory if --genome is not specified. If you don't have the appropriate alignment index available this will be generated for you automatically. Combine with --save_reference to save alignment index for future runs.
Path to GTF annotation file.
string^\S+\.gtf(\.gz)?$This parameter is mandatory if --genome is not specified.
Path to GFF3 annotation file.
string^\S+\.gff(\.gz)?$This parameter must be specified if --genome or --gtf are not specified.
Path to BED file containing gene intervals. This will be created from the GTF file if not specified.
string^\S+\.bed(\.gz)?$Path to FASTA transcriptome file.
string^\S+\.fn?a(sta)?(\.gz)?$FASTA file to concatenate to genome FASTA file e.g. containing spike-in sequences.
string^\S+\.fn?a(sta)?(\.gz)?$If provided, the sequences in this file will get concatenated to the existing genome FASTA file, a GTF file will be automatically created using the entire sequence as the gene, transcript, and exon features, and any alignment index will get created from the combined FASTA and GTF. It is recommended to save the reference with --save_reference to re-use the index for future runs so you do not need to create it again.
Splice sites file required for HISAT2.
stringPath to directory or tar.gz archive for pre-built STAR index.
stringPath to directory or tar.gz archive for pre-built HISAT2 index.
stringPath to directory or tar.gz archive for pre-built RSEM index.
stringPath to directory or tar.gz archive for pre-built Salmon index.
stringMinimum memory required to use splice sites and exons in the HiSAT2 index build process.
string200.GB^\d+(\.\d+)?\.?\s*(K|M|G|T)?B$HiSAT2 requires a huge amount of RAM to build a genome index for larger genomes, if including splice sites and exons e.g. the human genome might typically require 200GB. If you specify less than this threshold for the HISAT2_BUILD process then the splice sites and exons will be ignored, meaning that the process will require a lot less memory. If you are working with a small genome, set this parameter to a lower value to reduce the threshold for skipping this check. If using a larger genome, consider supplying more memory to the HISAT2_BUILD process.
Specify if your GTF annotation is in GENCODE format.
booleanIf your GTF file is in GENCODE format and you would like to run Salmon i.e. --pseudo_aligner salmon, you will need to provide this parameter in order to build the Salmon index appropriately.
By default, the pipeline uses the gene_name field to obtain additional gene identifiers from the input GTF file when running Salmon.
stringgene_nameThis behaviour can be modified by specifying --gtf_extra_attributes when running the pipeline. Note that you can also specify more than one desired value, separated by a comma e.g. --gtf_extra_attributes gene_id,....
Define the attribute type used to group features in the GTF file when running Salmon.
stringgene_idThe attribute type used to group feature types in the GTF file when generating the biotype plot with featureCounts.
stringgene_biotypeBy default, the pipeline assigns reads based on the 'exon' attribute within the GTF file.
stringexonThe feature type used from the GTF file when generating the biotype plot with featureCounts.
If generated by the pipeline save the STAR index in the results directory.
booleanIf an alignment index is generated by the pipeline use this parameter to save it to your results folder. These can then be used for future pipeline runs, reducing processing times.
Directory / URL base for iGenomes references.
strings3://ngi-igenomes/igenomesDo not load the iGenomes reference config.
booleanDo not load igenomes.config when running the pipeline. You may choose this option if you observe clashes between custom parameters and those supplied in igenomes.config.
Options to adjust read trimming criteria.
Instructs Trim Galore to remove bp from the 5' end of read 1 (or single-end reads).
integerInstructs Trim Galore to remove bp from the 5' end of read 2 (paired-end reads only).
integerInstructs Trim Galore to remove bp from the 3' end of read 1 AFTER adapter/quality trimming has been performed.
integerInstructs Trim Galore to remove bp from the 3' end of read 2 AFTER adapter/quality trimming has been performed.
integerInstructs Trim Galore to apply the --nextseq=X option, to trim based on quality after removing poly-G tails.
integerThis enables the option Cutadapt --nextseq-trim=3'CUTOFF option via Trim Galore, which will set a quality cutoff (that is normally given with -q instead), but qualities of G bases are ignored. This trimming is in common for the NextSeq- and NovaSeq-platforms, where basecalls without any signal are called as high-quality G bases.
Minimum number of trimmed reads below which samples are removed from further processing. Some downstream steps in the pipeline will fail if this threshold is too low.
integer10000Skip the adapter trimming step.
booleanUse this if your input FastQ files have already been trimmed outside of the workflow or if you're very confident that there is no adapter contamination in your data.
Save the trimmed FastQ files in the results directory.
booleanBy default, trimmed FastQ files will not be saved to the results directory. Specify this flag (or set to true in your config file) to copy these files to the results directory when complete.
Options to adjust parameters and filtering criteria for read alignments.
Specifies the alignment algorithm to use - available options are 'star_salmon', 'star_rsem' and 'hisat2'.
stringSpecifies the pseudo aligner to use - available options are 'salmon'. Runs in addition to '--aligner'.
stringCreate a CSI index for BAM files instead of the traditional BAI index. This will be required for genomes with larger chromosome sizes.
booleanWhen using pre-built STAR indices do not re-extract and use splice junctions from the GTF file.
booleanOverride Salmon library type inferred based on strandedness defined in meta object.
stringSee Salmon docs.
Minimum percentage of uniquely mapped reads below which samples are removed from further processing.
number5Some downstream steps in the pipeline will fail if this threshold is too low.
Sequencing center information to be added to read group of BAM files.
stringPerform reference-guided de novo assembly of transcripts using StringTie i.e. dont restrict to those in GTF file.
booleanWhere possible, save unaligned reads from either STAR, HISAT2 or Salmon to the results directory.
booleanThis may either be in the form of FastQ or BAM files depending on the options available for that particular tool.
Save the intermediate BAM files from the alignment step.
booleanBy default, intermediate BAM files will not be saved. The final BAM files created after the appropriate filtering step are always saved to limit storage usage. Set this parameter to also save other intermediate BAM files.
Skip picard MarkDuplicates step.
booleanSkip all of the alignment-based processes within the pipeline.
booleanOptions to skip various steps within the workflow.
Specify the RSeQC modules to run.
stringbam_stat,inner_distance,infer_experiment,junction_annotation,junction_saturation,read_distribution,read_duplicationSkip bigWig file creation.
booleanSkip StringTie.
booleanSkip FastQC.
booleanSkip Preseq.
booleanSkip dupRadar.
booleanSkip Qualimap.
booleanSkip RSeQC.
booleanSkip additional featureCounts process for biotype QC.
booleanSkip DESeq2 PCA and heatmap plotting.
booleanSkip MultiQC.
booleanSkip all QC steps except for MultiQC.
booleanParameters used to describe centralised config profiles. These should not be edited.
Git commit id for Institutional configs.
stringmasterBase directory for Institutional configs.
stringhttps://raw.githubusercontent.com/nf-core/configs/masterIf you're running offline, Nextflow will not be able to fetch the institutional config files from the internet. If you don't need them, then this is not a problem. If you do need them, you should download the files from the repo and tell Nextflow where to find them with this parameter.
Institutional config name.
stringInstitutional config description.
stringInstitutional config contact information.
stringInstitutional config URL link.
stringSet the top limit for requested resources for any single job.
Maximum number of CPUs that can be requested for any single job.
integer16Use to set an upper-limit for the CPU requirement for each process. Should be an integer e.g. --max_cpus 1
Maximum amount of memory that can be requested for any single job.
string128.GB^\d+(\.\d+)?\.?\s*(K|M|G|T)?B$Use to set an upper-limit for the memory requirement for each process. Should be a string in the format integer-unit e.g. --max_memory '8.GB'
Maximum amount of time that can be requested for any single job.
string240.h^(\d+\.?\s*(s|m|h|day)\s*)+$Use to set an upper-limit for the time requirement for each process. Should be a string in the format integer-unit e.g. --max_time '2.h'
Less common options for the pipeline, typically set in a config file.
Display help text.
booleanMethod used to save pipeline results to output directory.
stringThe Nextflow publishDir option specifies which intermediate files should be saved to the output directory. This option tells the pipeline what method should be used to move these files. See Nextflow docs for details.
Email address for completion summary, only when pipeline fails.
string^([a-zA-Z0-9_\-\.]+)@([a-zA-Z0-9_\-\.]+)\.([a-zA-Z]{2,5})$An email address to send a summary email to when the pipeline is completed - ONLY sent if the pipeline does not exit successfully.
Send plain-text email instead of HTML.
booleanFile size limit when attaching MultiQC reports to summary emails.
string25.MBDo not use coloured log outputs.
booleanCustom config file to supply to MultiQC.
stringDirectory to keep pipeline Nextflow logs and reports.
string${params.outdir}/pipeline_infoBoolean whether to validate parameters against the schema at runtime
booleantrueShow all params when using --help
booleanRun this workflow with Conda. You can also use '-profile conda' instead of providing this parameter.
boolean