Releases: iqbal-lab-org/viridian
Releases · iqbal-lab-org/viridian
v1.4.0
- Smaller container sizes
- Fix to work on larger genomes (eg mpox) by using mafft for global alignment instead of current nucmer-based method. New default is to use mafft if reference genome is longer than 30kbp, so covid is not affected
- Add command line option
--force_mafft
to use mafft for global alignment regardless of reference genome size
v1.3.1
Bug fix: forcing the amplicon scheme was not happening (the log said it was, but best scoring was actually still being used)
v1.3.0
- Add support for primer schemes in PrimalScheme formatted BED files
- Fix bug where when downloading reads and running, and reads failed to download, tried to delete some files that didn't exist
v1.2.2
Bug fix: version flag of previous version 1.2.0 was not updated. This release is to fix that, so it now reports 1.2.2.
v1.2.1
v1.2.0
- Added new command line task
dl_and_run
, to download and run a batch of reads - changed name of options
--ena_run
->--run_accession
;--keep_ena_reads
->--keep_downloaded_reads
- fixed bug where downloaded reads had to be paired. Now unpaired works
- fixed bug where
--tech
option had to be specified when downloading reads
v1.1.0
Allow Illumina reads to be unpaired
v1.0.0
- main script called viridian (viridian_workflow also kept for backwards compatibility, they are actually the same scripts)
- improved scheme detection, using mapped fragment ends to make a normalised score, and remove unseen primers
- add schemes artic5 and varskip
- add ion torrent support
- command line option to simulate fragments from reads and get the scheme scores
- output MSAs for tree building
- option to get reads from bam or download from ENA
- optionally run ReadItAndKeep
- plots of scheme score results and depth across genome
- qc TSV and masking includes handling indels and ambiguous IUPAC codes
- various bug fixes and other small improvements
v0.3.7
Add auto built Docker image to github containers
v0.3.6
Internal release, better handling of fragmented consensus sequences