Description

SvABA is an efficient and accurate method for detecting SVs from short-read sequencing data using genome-wide local assembly with low memory and computing requirements

Input

Name
Description
Pattern

0 ()

1 ()

2 ()

3 ()

4 ()

0 ()

1 ()

0 ()

1 ()

0 ()

1 ()

0 ()

1 ()

0 ()

1 ()

0 ()

1 ()

Output

Name
Description
Pattern

sv ()

indel ()

germ_indel ()

germ_sv ()

som_indel ()

som_sv ()

unfiltered_sv ()

unfiltered_indel ()

unfiltered_germ_indel ()

unfiltered_germ_sv ()

unfiltered_som_indel ()

unfiltered_som_sv ()

raw_calls ()

discordants ()

log ()

versions ()

Tools

svaba Documentation

Structural variation and indel detection by local assembly

https://github.com/walaj/svabadoi: 10.1101/gr.221028.117License: GPL v3
Authors