Releases: dib-lab/dammit
dammit v1.2
Fixes several major bugs / introduces improvements:
- updates TransDecoder and HMMER parsing for TransDecoder 5 (the "query_name" KeyError)
- uses peptide coordinates from longest_orfs.pep for remapping and introduces parser for it
- forces TransDecoder v5
- updates the MafParser to support erroneously inserted newlines (seems to show up against sprot)
Zenodo Handle
Handle for zenodo DOI.
v1.1
new functionality:
- add
--no-rename
option, which allows you to keep original transcript names - add
swissprot
mapping to default pipeline - patch NR pipeline
- new home (dib-lab) for repo & docs
release contributors:
@camillescott, @bluegenes, @ljcohen, @charlesreid1
v1.0
Fix a typo.
v1.0rc2
Update README.rst
RC1: Some BUSCO fixes for bioconda
v1.0.rc1 Bump version
dammit 1.0 release candidate 0
This release represents a significant refactor of dammit. It supports updated versions of TransDecoder and BUSCO (3.0.2); all v2 BUSCO databases; removes crb-blast, ruby, and NCBI BLAST dependencies; fixes a lot of bugs; and is generally more stable and easy to use and install.
1.0 Backport
This is a final release of v0.3.2 before 1.0 is pushed out. It brings in a number of bugfixes from 1.0:
- Fixes the empty transcript names caused from TransDecoder 3.0 incompat
- Fixes the float NaN error with Pandas 1.19.1 #78
- Fixes infernal coord issues #70
- Allows BUSCO to use v1.22
- Updates v1 BUSCO database URLs
- Fixes gnu-parallel command that was broken on OSX
- Allows use of
--sshloginfile
for clusters
To install, do:
pip install dammit==0.3.2
Moar Parallel, Less Bugs
Changes:
- Fixes the broken parallel hmmscan command. Sorry bout that!
- Adds parallel support to cmscan.
- Adds a bunch more tests.
- Reorganizes the test suite.
- Remove the deprecated CRBB module and its scikit-learn dependency (development on that is now over in https://github.com/camillescott/shmlast)
- Slight modifications to the install instructions.
Update in the usual way with:
pip install -U --no-deps dammit
Unless otherwise unable, it's also good to update pandas:
conda update pandas numexpr