| Name : R-SweepDiscovery
| |
| Version : 0.1.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.4
| Date : 2024-06-14 11:17:36
|
| Group : Development/Libraries/Other
| Source RPM : R-SweepDiscovery-0.1.1-lp153.1.4.src.rpm
|
| Size : 1.63 MB
| |
| Packager : (none)
| |
| Summary : Selective Sweep Discovery Tool
|
Description :
Selective sweep is a biological phenomenon in which genetic variation
between neighboring beneficial mutant alleles is swept away due to the
effect of genetic hitchhiking. Detection of selective sweep is not well
acquainted as well as it is a laborious job. This package is a user
friendly approach for detecting selective sweep in genomic regions. It
uses a Random Forest based machine learning approach to predict
selective sweep from VCF files as an input. Input of this function,
train data and new data, can be computed using the project
< https://github.com/AbhikSarkar1999/SweepDiscovery> in \'GitHub\'. This
package has been developed by using the concept of Pavlidis and
Alachiotis (2017) < doi:10.1186/s40709-017-0064-0>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
