nf-core/rnaseq: Changelog

The format is based on Keep a Changelog and this project adheres to Semantic Versioning.

[3.8.1] - 2022-05-27

[#834] - nf-core download fails with version 3.8 of the pipeline

[3.8] - 2022-05-25

⚠️ Major enhancements

Fixed quite a well hidden bug in the UMI processing mode of the pipeline when using --with_umi --aligner star_salmon as reported by Lars Roed Ingerslev. Paired-end BAM files were not appropriately name sorted after umi_tools dedup which ultimately resulted in incorrect reading and quantification with Salmon. If you have used previous versions of the pipeline to analyse paired-end UMI data it will need to be reprocessed using this version of the pipeline. See #828 for more context.

Enhancements & fixes

[#824] - Add explicit docs for usage of featureCounts in the pipeline
[#825] - Pipeline fails due to trimming related removal of all reads from a sample
[#827] - Control generation of --output-stats when running umi-tools dedup
[#828] - Filter BAM output of UMI-tools dedup before passing to Salmon quant
Updated pipeline template to nf-core/tools 2.4.1

Parameters

Old parameter	New parameter
	`--min_trimmed_reads`
	`--umitools_dedup_stats`

[3.7] - 2022-05-03

⚠️ Major enhancements

Updated default STAR version to latest available (2.7.10a; see #808)
Vanilla Linux Docker container changed from biocontainers/biocontainers:v1.2.0_cv1 to ubuntu:20.04 to fix issues observed on GCP (see #764)

Enhancements & fixes

[#762] - Explicitly set --skip_bbsplit false with --bbsplit_fasta_list to use BBSplit
[#764] - Test fails when using GCP due to missing tools in the basic biocontainer
[#765] - Add docs for the usage of nf-core/rnaseq with prokaryotic data
[#775] - Incorrect columns in Salmon transcript files
[#791] - Add outputs for umitools dedup summary stats
[#797] - Add --skip_umi_extract to account for pre-existing UMIs header embeddings.
[#798] - Decompress transcript fasta error
[#799] - Issue with using --retain_unpaired with the FASTQC_UMITOOLS_TRIMGALORE:TRIMGALORE module
[#802] - --bam_csi_index error generated if --skip_alignment specified
[#808] - Auto-detect usage of Illumina iGenomes reference
[#809] - Add metro map for pipeline
[#814] - Use decimal values for --min_mapped_reads
Updated pipeline template to nf-core/tools 2.3.2

Parameters

Old parameter	New parameter
	`--skip_umi_extract`

Software dependencies

Note, since the pipeline is now using Nextflow DSL2, each process will be run with its own Biocontainer. This means that on occasion it is entirely possible for the pipeline to be using different versions of the same tool. However, the overall software dependency changes compared to the last release have been listed below for reference.

Dependency	Old version	New version
`samtools`	1.14	1.15.1
`star`	2.6.1d	2.7.10a
`stringtie`	2.1.7	2.2.1

[3.6] - 2022-03-04

Enhancements & fixes

nf-core/tools#1415 - Make --outdir a mandatory parameter
[#734] - Is a vulnerable picard still used ? log4j vulnerability
[#744] - Auto-detect and raise error if CSI is required for BAM indexing
[#750] - Optionally ignore R1 / R2 after UMI extraction process
[#752] - How to set publishing mode for all processes?
[#753] - Add warning when user provides --transcript_fasta
[#754] - DESeq2 QC issue linked to --count_col parameter
[#755] - Rename RSEM_PREPAREREFERENCE_TRANSCRIPTS process
[#759] - Empty lines in samplesheet.csv cause a crash
[#769] - Do not run RSeQC tin.py by default

Parameters

Old parameter	New parameter
	`--publish_dir_mode`
	`--umi_discard_read`

[3.5] - 2021-12-17

Enhancements & fixes

Port pipeline to the updated Nextflow DSL2 syntax adopted on nf-core/modules
- Removed --publish_dir_mode as it is no longer required for the new syntax
Bump minimum Nextflow version from 21.04.0 -> 21.10.3
Updated pipeline template to nf-core/tools 2.2
[#664] - Conflict of library names for technical replicates
[#720] - KeyError 'gene_id' in salmon_tx2gene.py
[#724] - Deal with warnings generated when native NF processes are used
[#725] - Untar needs --no-same-owner on DNAnexus
[#727] - Fix transcriptome staging issues on DNAnexus for rsem/prepareference
[#728] - Add RSeQC TIN.py as a quality metric for the pipeline

[3.4] - 2021-10-05

Enhancements & fixes

Software version(s) will now be reported for every module imported during a given pipeline execution
Added python3 shebang to appropriate scripts in bin/ directory
[#407] - Filter mouse reads from PDX samples
[#570] - Update SortMeRNA to use SilvaDB 138 (for commercial use)
[#690] - Error with post-trimmed read 2 sample names from FastQC in MultiQC
[#693] - Cutadapt version missing from MultiQC report
[#697] - pipeline_report.{txt,html} missing from pipeline_info directory
[#705] - Sample sheet error check false positive

Parameters

Old parameter	New parameter
	`--bbsplit_fasta_list`
	`--bbsplit_index`
	`--save_bbsplit_reads`
	`--skip_bbsplit`

Software dependencies

Note, since the pipeline is now using Nextflow DSL2, each process will be run with its own Biocontainer. This means that on occasion it is entirely possible for the pipeline to be using different versions of the same tool. However, the overall software dependency changes compared to the last release have been listed below for reference.

Dependency	Old version	New version
`bbmap`		38.93
`hisat2`	2.2.0	2.2.1
`picard`	2.23.9	2.25.7
`salmon`	1.4.0	1.5.2
`samtools`	1.12	1.13
`sortmerna`	4.2.0	4.3.4
`trim-galore`	0.6.6	0.6.7

[3.3] - 2021-07-29

Enhancements & fixes

Updated pipeline template to nf-core/tools 2.1
[#556] - Genome index is not recreated with --additional_fasta unless --star_index false
[#668] - Salmon quant with UMI-tools does not work
[#674] - Launch pipeline regex fails

Software dependencies

Note, since the pipeline is now using Nextflow DSL2, each process will be run with its own Biocontainer. This means that on occasion it is entirely possible for the pipeline to be using different versions of the same tool. However, the overall software dependency changes compared to the last release have been listed below for reference.

Dependency	Old version	New version
`samtools`	1.10	1.12
`stringtie`	2.1.4	2.1.7
`umi_tools`	1.1.1	1.1.2

[3.2] - 2021-06-18

Enhancements & fixes

Removed workflow to download data from public databases in favour of using nf-core/fetchngs
Added a stand-alone Python script bin/fastq_dir_to_samplesheet.py to auto-create samplesheet from a directory of FastQ files
Added docs about overwriting default container definitions to use latest versions e.g. Pangolin
[#637] - Add --salmon_quant_libtype parameter to provide the --libType option to salmon quantification
[#645] - Remove trailing slash from params.igenomes_base
[#649] - DESeq2 fails with only one sample
[#652] - Results files have incorrect file names
[nf-core/viralrecon#201] - Conditional include are not expected to work

Parameters

Old parameter	New parameter
`--public_data_ids`
`--skip_sra_fastq_download`
	`--salmon_quant_libtype`

[3.1] - 2021-05-13

⚠️ Major enhancements

Samplesheet format has changed from group,replicate,fastq_1,fastq_2,strandedness to sample,fastq_1,fastq_2,strandedness
- This gives users the flexibility to name their samples however they wish (see #550)
- PCA generated by DESeq2 will now be monochrome and will not be grouped by using the replicate id
Updated Nextflow version to v21.04.0 (see nextflow#572)
Restructure pipeline scripts into modules/, subworkflows/ and workflows/ directories

Enhancements & fixes

Updated pipeline template to nf-core/tools 1.14
Initial implementation of a standardised samplesheet JSON schema to use with user interfaces and for validation
Only FastQ files that require to be concatenated will be passed to CAT_FASTQ process
[#449] - --genomeSAindexNbases will now be auto-calculated before building STAR indices
[#460] - Auto-detect and bypass featureCounts execution if biotype doesn't exist in GTF
[#544] - Update test-dataset for pipeline
[#553] - Make tximport output files using all the samples; identified by @j-andrews7
[#561] - Add gene symbols to merged output; identified by @grst
[#563] - samplesheet.csv merge error
[#567] - Update docs to mention trimgalore core usage nuances
[#568] - --star_index argument is ignored with --aligner star_rsem option
[#569] - nextflow edge release documentation for running 3.0
[#575] - Remove duplicated salmon output files
[#576] - umi_tools dedup : Run before salmon to dedup counts
[#582] - Generate a separate bigwig tracks for each strand
[#583] - Samtools error during run requires use of BAM CSI index
[#585] - Clarify salmon uncertainty for some transcripts
[#604] - Additional fasta with GENCODE annotation results in biotype error
[#610] - save R objects as RDS
[#619] - implicit declaration of the workflow in main
[#629] - Add and fix EditorConfig linting in entire pipeline
[nf-core/modules#423] - Replace publish_by_id module option to publish_by_meta
[nextflow#2060] - Pipeline execution hang when native task fail to be submitted

Parameters

Old parameter	New parameter
`--hisat_build_memory`	`--hisat2_build_memory`
`--gtf_count_type`	`--featurecounts_feature_type`
`--gtf_group_features_type`	`--featurecounts_group_type`
	`--bam_csi_index`
	`--schema_ignore_params`
	`--show_hidden_params`
	`--validate_params`
`--clusterOptions`

Software dependencies

Note, since the pipeline is now using Nextflow DSL2, each process will be run with its own Biocontainer. This means that on occasion it is entirely possible for the pipeline to be using different versions of the same tool. However, the overall software dependency changes compared to the last release have been listed below for reference.

Dependency	Old version	New version
`bedtools`	2.29.2	2.30.0
`multiqc`	1.9	1.10.1
`preseq`	2.0.3	3.1.2

[3.0] - 2020-12-15

⚠️ Major enhancements

You will need to install Nextflow >=20.11.0-edge to run the pipeline. If you are using Singularity, then features introduced in that release now enable the pipeline to directly download Singularity images hosted by Biocontainers as opposed to performing a conversion from Docker images (see #496).
The previous default of aligning BAM files using STAR and quantifying using featureCounts (--aligner star) has been removed. The new default is to align with STAR and quantify using Salmon (--aligner star_salmon).
- This decision was made primarily because of the limitations of featureCounts to appropriately quantify gene expression data. Please see Zhao et al., 2015 and Soneson et al., 2015).
For similar reasons, quantification will not be performed if using --aligner hisat2 due to the lack of an appropriate option to calculate accurate expression estimates from HISAT2 derived genomic alignments.
- This pipeline option is still available for those who have a preference for the alignment, QC and other types of downstream analysis compatible with the output of HISAT2. No gene-level quantification results will be generated.
- In a future release we hope to add back quantitation for HISAT2 using different tools.

Enhancements & fixes

Updated pipeline template to nf-core/tools 1.12.1
Bumped Nextflow version 20.07.1 -> 20.11.0-edge
Added UCSC bedClip module to restrict bedGraph file coordinates to chromosome boundaries
Check if Bioconda and conda-forge channels are set-up correctly when running with -profile conda
Use rsem-prepare-reference and not gffread to create transcriptome fasta file
[#494] - Issue running rnaseq v2.0 (DSL2) with test profile
[#496] - Direct download of Singularity images via HTTPS
[#498] - Significantly different versions of STAR in star_rsem (2.7.6a) and star (2.6.1d)
[#499] - Use of salmon counts for DESeq2
[#500, #509] - Error with AWS batch params
[#511] - rsem/star index fails with large genome
[#515] - Add decoy-aware indexing for salmon
[#516] - Unexpected error [InvocationTargetException]
[#525] - sra_ids_to_runinfo.py UnicodeEncodeError
[#550] - handle samplesheets with replicate=0

Parameters

Old parameter	New parameter
`--fc_extra_attributes`	`--gtf_extra_attributes`
`--fc_group_features`	`--gtf_group_features`
`--fc_count_type`	`--gtf_count_type`
`--fc_group_features_type`	`--gtf_group_features_type`
	`--singularity_pull_docker_container`
`--skip_featurecounts`

Software dependencies

Note, since the pipeline is now using Nextflow DSL2, each process will be run with its own Biocontainer. This means that on occasion it is entirely possible for the pipeline to be using different versions of the same tool. However, the overall software dependency changes compared to the last release have been listed below for reference.

Dependency	Old version	New version
`bioconductor-summarizedexperiment`	1.18.1	1.20.0
`bioconductor-tximeta`	1.6.3	1.8.0
`picard`	2.23.8	2.23.9
`requests`		2.24.0
`salmon`	1.3.0	1.4.0
`ucsc-bedclip`		377
`umi_tools`	1.0.1	1.1.1

[2.0] - 2020-11-12

Major enhancements

Pipeline has been re-implemented in Nextflow DSL2
All software containers are now exclusively obtained from Biocontainers
Added a separate workflow to download FastQ files via SRA, ENA or GEO ids and to auto-create the input samplesheet (ENA FTP; see --public_data_ids parameter)
Added and refined a Groovy lib/ of functions that include the automatic rendering of parameters defined in the JSON schema for the help and summary log information
Replace edgeR with DESeq2 for the generation of PCA and heatmaps (also included in the MultiQC report)
Creation of bigWig coverage files using BEDTools and bedGraphToBigWig
[#70] - Added new genome mapping and quantification route with RSEM via the --aligner star_rsem parameter
[#72] - Samples skipped due to low alignment reported in the MultiQC report
[#73, #435] - UMI barcode support
[#91] - Ability to concatenate multiple runs of the same samples via the input samplesheet
[#123] - The primary input for the pipeline has changed from --reads glob to samplesheet --input. See usage docs.
[#197] - Samples failing strand-specificity checks reported in the MultiQC report
[#227] - Removal of ribosomal RNA via SortMeRNA
[#419] - Add --additional_fasta parameter to provide ERCC spike-ins, transgenes such as GFP or CAR-T as additional sequences to align to

Other enhancements & fixes

Updated pipeline template to nf-core/tools 1.11
Optimise MultiQC configuration for faster run-time on huge sample numbers
Add information about SILVA licensing when removing rRNA to usage.md
Fixed ansi colours for pipeline summary, added summary logs of alignment results
[#281] - Add nag to cite the pipeline in summary
[#302] - Fixed MDS plot axis labels
[#338] - Add option for turning on/off STAR command line option (--sjdbGTFfile)
[#344] - Added multi-core TrimGalore support
[#351] - Fixes missing Qualimap parameter -p
[#353] - Fixes an issue where MultiQC fails to run with --skip_biotype_qc option
[#357] - Fixes broken links
[#362] - Fix error with gzipped annotation file
[#384] - Changed SortMeRNA reference dbs path to use stable URLs (v4.2.0)
[#396] - Deterministic mapping for STAR aligner
[#412] - Fix Qualimap not being passed on correct strand-specificity parameter
[#413] - Fix STAR unmapped reads not output
[#434] - Fix typo reported for work-dir
[#437] - FastQC uses correct number of threads now
[#440] - Fixed issue where featureCounts process fails when setting --fc_count_type to gene
[#452] - Fix --gff input bug
[#345] - Fixes label name in FastQC process
[#391] - Make publishDir mode configurable
[#431] - Update AWS GitHub actions workflow with organization level secrets
[#435] - Fix a bug where gzipped references were not extracted when --additional_fasta was not specified
[#435] - Fix a bug where merging of RSEM output would fail if only one fastq provided as input
[#435] - Correct RSEM output name (was saving counts but calling them TPMs; now saving both properly labelled)
[#436] - Fix a bug where the RSEM reference could not be built
[#458] - Fix TMP_DIR for process MarkDuplicates and Qualimap

Parameters

Updated

Old parameter	New parameter
`--reads`	`--input`
`--igenomesIgnore`	`--igenomes_ignore`
`--removeRiboRNA`	`--remove_ribo_rna`
`--rRNA_database_manifest`	`--ribo_database_manifest`
`--save_nonrRNA_reads`	`--save_non_ribo_reads`
`--saveAlignedIntermediates`	`--save_align_intermeds`
`--saveReference`	`--save_reference`
`--saveTrimmed`	`--save_trimmed`
`--saveUnaligned`	`--save_unaligned`
`--skipAlignment`	`--skip_alignment`
`--skipBiotypeQC`	`--skip_biotype_qc`
`--skipDupRadar`	`--skip_dupradar`
`--skipFastQC`	`--skip_fastqc`
`--skipMultiQC`	`--skip_multiqc`
`--skipPreseq`	`--skip_preseq`
`--skipQC`	`--skip_qc`
`--skipQualimap`	`--skip_qualimap`
`--skipRseQC`	`--skip_rseqc`
`--skipTrimming`	`--skip_trimming`
`--stringTieIgnoreGTF`	`--stringtie_ignore_gtf`

Added

--additional_fasta - FASTA file to concatenate to genome FASTA file e.g. containing spike-in sequences
--deseq2_vst - Use vst transformation instead of rlog with DESeq2
--enable_conda - Run this workflow with Conda. You can also use '-profile conda' instead of providing this parameter
--min_mapped_reads - Minimum percentage of uniquely mapped reads below which samples are removed from further processing
--multiqc_title - MultiQC report title. Printed as page header, used for filename if not otherwise specified
--public_data_ids - File containing SRA/ENA/GEO identifiers one per line in order to download their associated FastQ files
--publish_dir_mode - Method used to save pipeline results to output directory
--rsem_index - Path to directory or tar.gz archive for pre-built RSEM index
--rseqc_modules - Specify the RSeQC modules to run
--save_merged_fastq - Save FastQ files after merging re-sequenced libraries in the results directory
--save_umi_intermeds - If this option is specified, intermediate FastQ and BAM files produced by UMI-tools are also saved in the results directory
--skip_bigwig - Skip bigWig file creation
--skip_deseq2_qc - Skip DESeq2 PCA and heatmap plotting
--skip_featurecounts - Skip featureCounts
--skip_markduplicates - Skip picard MarkDuplicates step
--skip_sra_fastq_download - Only download metadata for public data database ids and don't download the FastQ files
--skip_stringtie - Skip StringTie
--star_ignore_sjdbgtf - See #338
--umitools_bc_pattern - The UMI barcode pattern to use e.g. 'NNNNNN' indicates that the first 6 nucleotides of the read are from the UMI
--umitools_extract_method - UMI pattern to use. Can be either 'string' (default) or 'regex'
--with_umi - Enable UMI-based read deduplication

Removed

--awsqueue can now be provided via nf-core/configs if using AWS
--awsregion can now be provided via nf-core/configs if using AWS
--compressedReference now auto-detected
--markdup_java_options in favour of updating centrally on nf-core/modules
--project parameter from old NGI template
--readPaths is not required since these are provided from the input samplesheet
--sampleLevel not required
--singleEnd is now auto-detected from the input samplesheet
--skipEdgeR qc not performed by DESeq2 instead
--star_memory in favour of updating centrally on nf-core/modules if required
Strandedness is now specified at the sample-level via the input samplesheet
- --forwardStranded
- --reverseStranded
- --unStranded
- --pico

Software dependencies

Note, since the pipeline is now using Nextflow DSL2, each process will be run with its own Biocontainer. This means that on occasion it is entirely possible for the pipeline to be using different versions of the same tool. However, the overall software dependency changes compared to the last release have been listed below for reference.

Dependency	Old version	New version
`bioconductor-dupradar`	1.14.0	1.18.0
`bioconductor-summarizedexperiment`	1.14.0	1.18.1
`bioconductor-tximeta`	1.2.2	1.6.3
`fastqc`	0.11.8	0.11.9
`gffread`	0.11.4	0.12.1
`hisat2`	2.1.0	2.2.0
`multiqc`	1.7	1.9
`picard`	2.21.1	2.23.8
`qualimap`	2.2.2c	2.2.2d
`r-base`	3.6.1	4.0.3
`salmon`	0.14.2	1.3.0
`samtools`	1.9	1.10
`sortmerna`	2.1b	4.2.0
`stringtie`	2.0	2.1.4
`subread`	1.6.4	2.0.1
`trim-galore`	0.6.4	0.6.6
`bedtools`	-	2.29.2
`bioconductor-biocparallel`	-	1.22.0
`bioconductor-complexheatmap`	-	2.4.2
`bioconductor-deseq2`	-	1.28.0
`bioconductor-tximport`	-	1.16.0
`perl`	-	5.26.2
`python`	-	3.8.3
`r-ggplot2`	-	3.3.2
`r-optparse`	-	1.6.6
`r-pheatmap`	-	1.0.12
`r-rcolorbrewer`	-	1.1_2
`rsem`	-	1.3.3
`ucsc-bedgraphtobigwig`	-	377
`umi_tools`	-	1.0.1
`bioconductor-edger`	-	-
`deeptools`	-	-
`matplotlib`	-	-
`r-data.table`	-	-
`r-gplots`	-	-
`r-markdown`	-	-

[1.4.2] - 2019-10-18

Minor version release for keeping Git History in sync
No changes with respect to 1.4.1 on pipeline level

[1.4.1] - 2019-10-17

Major novel changes include:

Update igenomes.config with NCBI GRCh38 and most recent UCSC genomes
Set autoMounts = true by default for singularity profile

Pipeline enhancements & fixes

Fixed parameter warnings #316 and 318
Fixed #307 - Confusing Info Printout about GFF and GTF

[1.4] - 2019-10-15

Major novel changes include:

Support for Salmon as an alternative method to STAR and HISAT2
Several improvements in featureCounts handling of types other than exon. It is possible now to handle nuclearRNAseq data. Nuclear RNA has un-spliced RNA, and the whole transcript, including the introns, needs to be counted, e.g. by specifying --fc_count_type transcript.
Support for outputting unaligned data to results folders.
Added options to skip several steps
- Skip trimming using --skipTrimming
- Skip BiotypeQC using --skipBiotypeQC
- Skip Alignment using --skipAlignment to only use pseudo-alignment using Salmon

Documentation updates

Adjust wording of skipped samples in pipeline output
Fixed link to guidelines #203
Add Citation and Quick Start section to README.md
Add in documentation of the --gff parameter

Reporting Updates

Generate MultiQC plots in the results directory #200
Get MultiQC to save plots as standalone files
Get MultiQC to write out the software versions in a .csv file #185
Use file instead of new File to create pipeline_report.{html,txt} files, and properly create subfolders

Pipeline enhancements & fixes

Restore SummarizedExperimment object creation in the salmon_merge process avoiding increasing memory with sample size.
Fix sample names in feature counts and dupRadar to remove suffixes added in other processes
Removed genebody_coverage process #195
Implemented Pearsons correlation instead of Euclidean distance #146
Add --stringTieIgnoreGTF parameter #206
Removed unused stringtie channels for MultiQC
Integrate changes in nf-core/tools v1.6 template which resolved #90
Moved process convertGFFtoGTF before makeSTARindex #215
Change all boolean parameters from snake_case to camelCase and vice versa for value parameters
Add SM ReadGroup info for QualiMap compatibility#238
Obtain edgeR + dupRadar version information #198 and #112
Add --gencode option for compatibility of Salmon and featureCounts biotypes with GENCODE gene annotations
Added functionality to accept compressed reference data in the pipeline
Check that gtf features are on chromosomes that exist in the genome fasta file #274
Maintain all gff features upon gtf conversion (keeps gene_biotype or gene_type to make featureCounts happy)
Add SortMeRNA as an optional step to allow rRNA removal #280
Minimal adjustment of memory and CPU constraints for clusters with locked memory / CPU relation
Cleaned up usage, parameters.settings.json and the nextflow.config

Dependency Updates

Dependency list is now sorted appropriately
Force matplotlib=3.0.3

Updated Packages

Picard 2.20.0 -> 2.21.1
bioconductor-dupradar 1.12.1 -> 1.14.0
bioconductor-edger 3.24.3 -> 3.26.5
gffread 0.9.12 -> 0.11.4
trim-galore 0.6.1 -> 0.6.4
gffread 0.9.12 -> 0.11.4
rseqc 3.0.0 -> 3.0.1
R-Base 3.5 -> 3.6.1

Added / Removed Packages

Dropped CSVtk in favor of Unix's simple cut and paste utilities
Added Salmon 0.14.2
Added TXIMeta 1.2.2
Added SummarizedExperiment 1.14.0
Added SortMeRNA 2.1b
Add tximport and summarizedexperiment dependency #171
Add Qualimap dependency #202

[1.3] - 2019-03-26

Pipeline Updates

Added configurable options to specify group attributes for featureCounts #144
Added support for RSeqC 3.0 #148
Added a parameters.settings.json file for use with the new nf-core launch helper tool.
Centralized all configuration profiles using nf-core/configs
Fixed all centralized configs for offline usage
Hide %dup in multiqc report
Add option for Trimming NextSeq data properly (@jburos work)

Bug fixes

Fixing HISAT2 Index Building for large reference genomes #153
Fixing HISAT2 BAM sorting using more memory than available on the system
Fixing MarkDuplicates memory consumption issues following #179
Use file instead of new File to create the pipeline_report.{html,txt} files to avoid creating local directories when outputting to AWS S3 folders
Fix SortMeRNA default rRNA db paths specified in assets/rrna-db-defaults.txt

Dependency Updates

RSeQC 2.6.4 -> 3.0.0
Picard 2.18.15 -> 2.20.0
r-data.table 1.11.4 -> 1.12.2
bioconductor-edger 3.24.1 -> 3.24.3
r-markdown 0.8 -> 0.9
csvtk 0.15.0 -> 0.17.0
stringtie 1.3.4 -> 1.3.6
subread 1.6.2 -> 1.6.4
gffread 0.9.9 -> 0.9.12
multiqc 1.6 -> 1.7
deeptools 3.2.0 -> 3.2.1
trim-galore 0.5.0 -> 0.6.1
qualimap 2.2.2b
matplotlib 3.0.3
r-base 3.5.1

[1.2] - 2018-12-12

Pipeline updates

Removed some outdated documentation about non-existent features
Config refactoring and code cleaning
Added a --fcExtraAttributes option to specify more than ENSEMBL gene names in featureCounts
Remove legacy rseqc strandRule config code. #119
Added STRINGTIE ballgown output to results folder #125
HiSAT index build now requests 200GB memory, enough to use the exons / splice junction option for building.
- Added documentation about the --hisatBuildMemory option.
BAM indices are stored and re-used between processes #71

Bug Fixes

Fixed conda bug which caused problems with environment resolution due to changes in bioconda #113
Fixed wrong gffread command line #117
Added cpus = 1 to workflow summary process #130

[1.1] - 2018-10-05

Pipeline updates

Wrote docs and made minor tweaks to the --skip_qc and associated options
Removed the depreciated uppmax-modules config profile
Updated the hebbe config profile to use the new withName syntax too
Use new workflow.manifest variables in the pipeline script
Updated minimum nextflow version to 0.32.0

Bug Fixes

#77: Added back executor = 'local' for the workflow_summary_mqc
#95: Check if task.memory is false instead of null
#97: Resolved edge-case where numeric sample IDs are parsed as numbers causing some samples to be incorrectly overwritten.

[1.0] - 2018-08-20

This release marks the point where the pipeline was moved from SciLifeLab/NGI-RNAseq over to the new nf-core community, at nf-core/rnaseq.

View the previous changelog at SciLifeLab/NGI-RNAseq/CHANGELOG.md

In addition to porting to the new nf-core community, the pipeline has had a number of major changes in this version. There have been 157 commits by 16 different contributors covering 70 different files in the pipeline: 7,357 additions and 8,236 deletions!

In summary, the main changes are:

Rebranding and renaming throughout the pipeline to nf-core
Updating many parts of the pipeline config and style to meet nf-core standards
Support for GFF files in addition to GTF files
- Just use --gff instead of --gtf when specifying a file path
New command line options to skip various quality control steps
More safety checks when launching a pipeline
- Several new sanity checks - for example, that the specified reference genome exists
Improved performance with memory usage (especially STAR and Picard)
New BigWig file outputs for plotting coverage across the genome
Refactored gene body coverage calculation, now much faster and using much less memory
Bugfixes in the MultiQC process to avoid edge cases where it wouldn't run
MultiQC report now automatically attached to the email sent when the pipeline completes
New testing method, with data on GitHub
- Now run pipeline with -profile test instead of using bash scripts
Rewritten continuous integration tests with Travis CI
New explicit support for Singularity containers
Improved MultiQC support for DupRadar and featureCounts
- Now works for all users instead of just NGI Stockholm
New configuration for use on AWS batch
Updated config syntax to support latest versions of Nextflow
Built-in support for a number of new local HPC systems
- CCGA, GIS, UCT HEX, updates to UPPMAX, CFC, BINAC, Hebbe, c3se
Slightly improved documentation (more updates to come)
Updated software packages

...and many more minor tweaks.

Thanks to everyone who has worked on this release!

Files

CHANGELOG.md

Latest commit

History

CHANGELOG.md

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nf-core/rnaseq: Changelog

[3.8.1] - 2022-05-27

[3.8] - 2022-05-25

⚠️ Major enhancements

Enhancements & fixes

Parameters

[3.7] - 2022-05-03

⚠️ Major enhancements

Enhancements & fixes

Parameters

Software dependencies

[3.6] - 2022-03-04

Enhancements & fixes

Parameters

[3.5] - 2021-12-17

Enhancements & fixes

[3.4] - 2021-10-05

Enhancements & fixes

Parameters

Software dependencies

[3.3] - 2021-07-29

Enhancements & fixes

Software dependencies

[3.2] - 2021-06-18

Enhancements & fixes

Parameters

[3.1] - 2021-05-13

⚠️ Major enhancements

Enhancements & fixes

Parameters

Software dependencies

[3.0] - 2020-12-15

⚠️ Major enhancements

Enhancements & fixes

Parameters

Software dependencies

[2.0] - 2020-11-12

Major enhancements

Other enhancements & fixes

Parameters

Updated

Added

Removed

Software dependencies

[1.4.2] - 2019-10-18

[1.4.1] - 2019-10-17

Pipeline enhancements & fixes

[1.4] - 2019-10-15

Documentation updates

Reporting Updates

Pipeline enhancements & fixes

Dependency Updates

Updated Packages

Added / Removed Packages

[1.3] - 2019-03-26

Pipeline Updates

Bug fixes

Dependency Updates

[1.2] - 2018-12-12

Pipeline updates

Bug Fixes

[1.1] - 2018-10-05

Pipeline updates

Bug Fixes

[1.0] - 2018-08-20