Releases: HKU-BAL/Clair3
Releases · HKU-BAL/Clair3
v1.0.8
v1.0.7
- Added memory guards and test functions to the full-alignment calling C implementation (#286 by @Chris Wright).
- Increased the maximum mpileup read coverage to 2^20 to accomodate excessively high-coverage amplicon data (#292 by @Devon Ryan).
- Updated LongPhase to version 1.6.
v1.0.6
- Fixed stack overflow issue when the read coverage is excessively high (#282 by @Chris Wright, #265 by @ymcki).
- Added reference caching for CRAM input (#278 by @Alex Leonard, #180 by @bartcharbon and @SamStudio8).
- Fixed a bug that outputs RefCall calls when no variant is called by full-alignment model (#271).
- Fixed a bug that variants below min coverage were still being called (#262).
- Set --min_snp_af and --min_indel_af to 0.0 when --vcf_fn is provided (#261).
v1.0.5
v1.0.4
- Added showing command line and reference source in output VCF header.
- Fixed a bug in showing the AF tag for 1/2 genotypes.
- Added AD tag output.
v1.0.3
v1.0.2
- Added PacBio HiFi Revio model, check Pre-trained model for model usage.
- Fixed a bug that halts the pipeline when there exists too few variant candidates (#198).
v1.0.1
- Bumped up "WhatsHap" version to 1.7, the
whatshap haplotag
step is ~15% faster. (#193). - Fixed PL tag output error when ALT is N (#191, contributor @Dennis Hendriksen).
v1.0.0
- Added Clair3 version number to the VCF header (#141).
- Fixed the numpy.int issue when using newer numpy version (#165, PR contributor @Aaron Tyler).
- The new version converts all IUPAC bases to 'N' in both VCF and GVCF output, use
--keep_iupac_bases
to keep the IUPAC bases (#153). - Added options
--use_longphase_for_intermediate_phasing
,--use_whatshap_for_final_output_phasing
,--use_longphase_for_final_output_phasing
,--use_whatshap_for_final_output_haplotagging
to disambiguate intermediate phasing and final VCF phasing either using WhatsHap or LongPhase, old options are still usable (#164). - Fixed "shell script interpreter selection problem" when using Clair3 as a host user within a Docker container (#175).
v0.1-r12
- CRAM input is supported (#117).
- Bumped up dependencies' version to "Python 3.9" (#96), "TensorFlow 2.8", "Samtools 1.15.1", "WhatsHap 1.4".
- VCF DP tag now shows raw coverage for both pileup and full-alignment calls (before r12, sub-sampled coverage was shown for pileup calls if average DP > 144, (#128).
- Fixed Illumina representation unification out-of-range error in training (#110).