Published February 11, 2022 | Version v1
Preprint Open

vamos: VNTR Annotation using efficient motif sets

Creators

  • 1. Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, 90034, United States

Description

Efficient motif sets obtained by setting delta values between 0.1-0.5.

Files

Files (147.3 MB)

Name Size Download all
md5:32292dac41a79d518a0a8a1ad31ee100
40.0 MB Download
md5:41d472482b0b0261f4182ddd00e944eb
31.4 MB Download
md5:1383789a6dd300cbaa03df1bff627ac4
27.3 MB Download
md5:3413c2bd35e029e548a16e6e52366092
25.2 MB Download
md5:9ee3682c3b0295583a996ea0cda8161f
23.6 MB Download