Unknown

Dataset Information

0

Genepleio software for effective estimation of gene pleiotropy from protein sequences.


ABSTRACT: Though pleiotropy, which refers to the phenomenon of a gene affecting multiple traits, has long played a central role in genetics, development, and evolution, estimation of the number of pleiotropy components remains a hard mission to accomplish. In this paper, we report a newly developed software package, Genepleio, to estimate the effective gene pleiotropy from phylogenetic analysis of protein sequences. Since this estimate can be interpreted as the minimum pleiotropy of a gene, it is used to play a role of reference for many empirical pleiotropy measures. This work would facilitate our understanding of how gene pleiotropy affects the pattern of genotype-phenotype map and the consequence of organismal evolution.

SUBMITTER: Chen W 

PROVIDER: S-EPMC4299487 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

altmetric image

Publications

Genepleio software for effective estimation of gene pleiotropy from protein sequences.

Chen Wenhai W   Chen Dandan D   Zhao Ming M   Zou Yangyun Y   Zeng Yanwu Y   Gu Xun X  

BioMed research international 20150105


Though pleiotropy, which refers to the phenomenon of a gene affecting multiple traits, has long played a central role in genetics, development, and evolution, estimation of the number of pleiotropy components remains a hard mission to accomplish. In this paper, we report a newly developed software package, Genepleio, to estimate the effective gene pleiotropy from phylogenetic analysis of protein sequences. Since this estimate can be interpreted as the minimum pleiotropy of a gene, it is used to  ...[more]

Similar Datasets

| S-EPMC1459372 | biostudies-literature
| S-EPMC5633385 | biostudies-literature
| S-EPMC4987941 | biostudies-literature
| S-EPMC4275039 | biostudies-literature
| S-EPMC6206612 | biostudies-literature
| S-EPMC7003186 | biostudies-literature
| S-EPMC2681465 | biostudies-literature
| S-EPMC5939969 | biostudies-literature
| S-EPMC168949 | biostudies-literature
| S-EPMC8056616 | biostudies-literature