Releases: epi2me-labs/wf-transcriptomes
Releases · epi2me-labs/wf-transcriptomes
Release list
v1.4.0
Added
--igvparameter (default: false) for outputting IGV config allowing visualisation of read alignments in the EPI2ME App.- If required for IGV, reference indexes are output in to a
igv_referencedirectory
Changed
- BAMS are output in to a BAMS directory.
- Reconcile with template 5.2.6.
v1.3.0
Removed
- Fusion detection subworkflow, as the functionality is not robust enough for general use at this time.
Changed
- Updated pychopper to 2.7.10
Added
- new
cdna_kitoptions: PCS114 and PCB111/114
v1.2.1
Changed
- Increase some memory and CPU allocations.
v1.2.0
Added
- Workflow now accepts BAM or FASTQ files as input (using the --bam or --fastq parameters, respectively).
Changed
- MA plot in the
results_dge.pdfhas been updated to match the MA plot in the report.
v1.1.1
Changed
- Improved handling of different annotation file types (eg.
.gtf/.gff/.gff3) inde_analysismode. - Improved handling of annotation files that do not contain version numbers in transcript_id (such as gtf's from Ensembl).
Fixed
- Differential expression failing with 10 or more samples.
- Regression causing the DE analysis numeric parameters to not be evaluated correctly.
v1.1.0
Changed
- Improve documentation around filtering of transcripts done before DTU analysis.
- Renamed files:
de_analysis/all_counts_filtered.tsvtode_analysis/filtered_transcript_counts_with_genes.tsvde_analysis/de_tpm_transcript_counts.tsvtode_analysis/unfiltered_tpm_transcript_counts.tsv
- Minimum memory requirements to
32 GB.
Added
- Published isoforms table to output directory.
- Output additional
de_analysis/cpm_gene_counts.tsvwith counts per million gene counts. - Output additional
de_analysis/unfiltered_transcript_counts_with_genes.tsvwith unfiltered transcript counts with associated gene IDs. - Add gene name column to the de_analysis counts TSV files.
Fixed
- Mapping stage using a single thread only.
Changed
- More memory assigned to the fusion detection process.
- When no
--ref_annotationis provided the workflow will still run but the output transcripts will not be annotated. However--de_analysismode still requires a--ref_annotation.
v1.0.0
Added
- Published minimap2 and pychopper results to output directory.
- Two extra pychopper parameters
--cdna_kitand--pychopper_backend.--pychopper_optionsis still available to define any other options. - Memory requirements for each process.
Changed
- Documentation.
Fixed
- When Jaffa is run only output one report.
v0.4.2
Changed
- Sample sheet must include a
controltype to indicate which samples are the reference for the differential expression pipeline.
Removed
- Default local executor CPU and RAM limits.
v0.4.1
Changed
- Updated docker container with Pychopper to support LSK114.
v0.4.0
Fixed
- Remove dead links from README
Removed
- Denovo
--transcriptome_sourceoption.