TwinCons: Conservation score for uncovering deep sequence similarity and divergence.
We have developed the program TwinCons, to detect noisy signals of deep ancestry of proteins or nucleic acids. As input, the program uses a composite alignment containing pre-defined groups, and mathematically determines a 'cost' of transforming one group to the other at each position of t...
Saved in:
Main Authors: | Petar I Penev, Claudia Alvarez-Carreño, Eric Smith, Anton S Petrov, Loren Dean Williams |
---|---|
Format: | article |
Language: | EN |
Published: |
Public Library of Science (PLoS)
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/b8aec4db844f4ec1adda39cb98b36cd8 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
TwinCons: Conservation score for uncovering deep sequence similarity and divergence
by: Petar I. Penev, et al.
Published: (2021) -
Geometric similarity of the twin collapsed glaciers in the west Tibet
by: Hu Wentao, et al.
Published: (2021) -
Uncovering Divergence in Gene Expression Regulation in the Adaptation of Yeast to Nitrogen Scarcity
by: Carlos A. Villarroel, et al.
Published: (2021) -
Brain age prediction using deep learning uncovers associated sequence variants
by: B. A. Jonsson, et al.
Published: (2019) -
Theoretical and empirical quantification of the accuracy of polygenic scores in ancestry divergent populations
by: Ying Wang, et al.
Published: (2020)