Published November 14, 2022 | Version 0.4
Software Open

Flex-sweep: Singularity container and two pre-trained models

  • 1. University of Arizona
  • 2. Aarhus University

Description

Flex-sweep is a convolutional neural network (CNN) -based method of detecting selective sweeps. It is available at https://github.com/lauterbur/Flex-sweep, but is best run via a singularity container. This obviates the sometimes-tedious requirements of installing dependencies, except for the application to interface with the container itself, in this case singularity.

The singularity container to run Flex-sweep is provided here. In addition, pre-trained models are provided for some common use-cases. The CNN training process can be time consuming, so these models make using Flex-sweep faster if they are appropriate for the data set to be classified.

Files

pre-trained-models.zip

Files (6.9 GB)

Name Size Download all
md5:4860875401e89eaf494b20cbe6ed9790
4.9 GB Download
md5:85dfaceae6dff35e27b3e7479b0dad59
2.0 GB Preview Download

Additional details

Related works

Is supplement to
Software: https://github.com/lauterbur/Flex-sweep (URL)