Releases: dantaki/SV2
Releases · dantaki/SV2
v1.5
v1.4.3.4
v1.4.3.3
SV2 v1.4.3.3
04/28/2018
commit 155e2b5
Change Log
- skips regions not present in SNV VCF: #8
- added
-O, -odir
option to define the path to output directories - added python 2.7 install requirement (timothymillar): #5
- fixed bug in merging when chromosome prefixes do not start with "chr"
❗ Please use the sv2-1.4.3.3.tar.gz
link not the "Source Code" links. ❗
v1.4.1
v1.4.0
SV2 v1.4.0
02/28/2018
commit 813e36a
Change Log
- supports CRAM files
- supports mm10 genotyping
- supports scikit-learn >= v0.19
- option to skip annotation
-no-anno
- deobfuscated code, improved execution time
- simplified command line arguments
- removed need for sample information file, now pass the input files directly!
- uses sample identifier from the bam header
- uses reference lengths from the bam header
- standard error now outputs to a log file
- fixed bugs in filtering
- fixed errors in gene annotation
- heterozygous allele ratio supports multiallelic variants
- removed parallelization capabilities
❗ Please use the sv2-1.4.0.tar.gz
link not the "Source Code" links. ❗
Version 1.3.2
Change Log
- Added function to merge SV after genotyping
- Users can now retrain default models or train their own
- Users can supply both BED and VCF files at the same time
sv2 -i in.txt [-b ...] [-v ...]
Ignore the notice about being behind in comments. Also do not download the "Source Code". The actual source package are sv2-1.3.2.tar.gz
and sv2-1.3.2.zip