Releases: steineggerlab/Metabuli
Releases · steineggerlab/Metabuli
Metabuli v1.0.5
The CMake file was edited to pass the Bioconda PR test.
Other than that it is the same as v1.0.4.
Metabuli v1.0.4
- Fixed a minor reproducibility issue.
- Fixed a performance-harming bug occurring with sequences containing lowercased bases.
- Auto adjustment of
--match-per-kmer
parameter. Issue #20 solved. - Record version info. in
db.parameter
Metabuli v1.0.3
- New parameter:
--tie-ratio
inclassify
module. [default 0.95]
When the best matching species has a score MAX, species withscore >= (MAX * --tie-ratio)
is considered as a tie to the best score. When tie species occur for a read, the read is classified into their LCA.
Metabuli v1.0.2
v1.0.2
--accession-level
option forbuild
andclassify
workflow: It reports not only the taxon but also the accession of the best match.- Fix minor bugs in
build
andclassify
workflow. - Generate
taxonomyDB
duringbuild
and load it duringclassify
workflow for faster loading of taxonomy information. - Support gzipped FASTA/FASTQ files in
add-to-library
andclassify
workflows. - low-complexity filtering in
build
workflow as default with--mask-prob 0.9
.
Metabuli v1.0.1
- Fixed memory-related bugs.
classify
generates a Krona report file.- New option of
classify
: Low-complexity masking by--mask
and--mask-prob
(#20) - New option of
classify
:--match-per-kmer
option in classify workflow (#20) databases
downloads DBs astar.gz
and unzips them.classify
ignores reads shorter than 26 nt.database-report
generates a report of taxa included in a database.
Metabuli v1.0.0
It is the first release of Metabuli.
Metabuli is a metagenomic classifier that jointly analyze both DNA and amino-acid sequences to achieve high specificity and sensitivity at the same time. It is implemented based on a novel k-mer structure, metamer, to efficiently index and compare sequences at both DNA and amino-acid level.