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Complex Patterns of Association between Pleiotropy and Transcription Factor Evolution.

Complex Patterns of Association between Pleiotropy and Transcription Factor Evolution.

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Gene Regulatory Enhancers with Evolutionarily Conserved Activity Are More Pleiotropic than Those with Species-Specific Activity.

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P2860

Complex Patterns of Association between Pleiotropy and Transcription Factor Evolution.

http://www.wikidata.org/entity/Q37521835

description

article científic

@ca

article scientifique

@fr

articolo scientifico

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artigo científico

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bilimsel makale

@tr

scientific article published on 15 September 2016

@en

vedecký článok

@sk

vetenskaplig artikel

@sv

videnskabelig artikel

@da

vědecký článek

@cs

name

Complex Patterns of Association between Pleiotropy and Transcription Factor Evolution.

@en

Complex Patterns of Association between Pleiotropy and Transcription Factor Evolution.

@nl

type

label

Complex Patterns of Association between Pleiotropy and Transcription Factor Evolution.

@en

Complex Patterns of Association between Pleiotropy and Transcription Factor Evolution.

@nl

prefLabel

Complex Patterns of Association between Pleiotropy and Transcription Factor Evolution.

@en

Complex Patterns of Association between Pleiotropy and Transcription Factor Evolution.

@nl

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Genome Biology and Evolution

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Complex Patterns of Association between Pleiotropy and Transcription Factor Evolution

@en

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Chao Cheng

http://www.w3.org/2001/XMLSchema#string

Jacquelaine Bartlett

http://www.w3.org/2001/XMLSchema#string

Kevin N Chesmore

http://www.w3.org/2001/XMLSchema#string

P2860

An integrated view of protein evolution

The NHGRI GWAS Catalog, a curated resource of SNP-trait associations

CDD: a Conserved Domain Database for the functional annotation of proteins

An atlas of combinatorial transcriptional regulation in mouse and man

Robustness and evolvability

Biopython: freely available Python tools for computational molecular biology and bioinformatics

A myelopoiesis-associated regulatory intergenic noncoding RNA transcript within the human HOXA cluster

Evolutionary rate depends on number of protein-protein interactions independently of gene expression level

No simple dependence between protein evolution rate and the number of protein-protein interactions: only the most prolific interactors tend to evolve slowly

A simple dependence between protein evolution rate and the number of protein-protein interactions

P304

3159-3170

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scholarly article

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10.1093/GBE/EVW228

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10

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8

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Scott M Williams

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2016-10-23T00:00:00Z

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27635052

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5174740

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