Biological Network Approach for the Identification of Regulatory Long Non-Coding RNAs Associated With Metabolic Efficiency in Cattle-Reference-Cited by-同舟云学术

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Biological Network Approach for the Identification of Regulatory Long Non-Coding RNAs Associated With Metabolic Efficiency in Cattle

Published:2019-11-22 Issue: Volume:10 Page:
ISSN:1664-8021
Container-title:Frontiers in Genetics
language:
Short-container-title:Front. Genet.

Author:

Nolte Wietje,Weikard Rosemarie,Brunner Ronald M.,Albrecht Elke,Hammon Harald M.,Reverter Antonio,Kühn Christa

Funder

Deutsche Forschungsgemeinschaft

Deutscher Akademischer Austauschdienst

Publisher

Frontiers Media SA

Subject

Genetics(clinical),Genetics,Molecular Medicine

Reference99 articles.

1. Systems biology reveals NR2F6 and TGFB1 as key regulators of feed efficiency in beef cattle;Alexandre;Front. Genet.,2019

2. Basic local alignment search tool;Altschul;J. Mol. Biol.,1990

3. FastQC: a quality control tool for high throughput sequence data AndrewS. 2010

4. Optimum postweaning test for measurement of growth rate, feed intake, and feed efficiency in British breed cattle;Archer;J. Anim. Sci.,1997

5. Betalinc1 encodes a long noncoding RNA that regulates islet beta-cell formation and function;Arnes;Genes Dev.,2016

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