scholarly journals Structural, Physiological and Regulatory Analysis of Maltose Transporter Genes in Saccharomyces eubayanus CBS 12357T

2018 ◽  
Vol 9 ◽  
Author(s):  
Anja Brickwedde ◽  
Nick Brouwers ◽  
Marcel van den Broek ◽  
Joan S. Gallego Murillo ◽  
Julie L. Fraiture ◽  
...  
Keyword(s):  
Maltose Transporter ◽  
Regulatory Analysis ◽  
Saccharomyces Eubayanus

scholarly journals In vivo recombination of Saccharomyces eubayanus maltose-transporter genes yields a chimeric transporter that enables maltotriose fermentation

PLoS Genetics ◽  
2019 ◽  
Vol 15 (4) ◽  
pp. e1007853 ◽  
Author(s):  
Nick Brouwers ◽  
Arthur R. Gorter de Vries ◽  
Marcel van den Broek ◽  
Susan M. Weening ◽  
Tom D. Elink Schuurman ◽  
...  
Keyword(s):  
In Vivo Recombination ◽  
Maltose Transporter ◽  
Saccharomyces Eubayanus

scholarly journals cis-regulatory analysis of the Drosophila pdm locus reveals a diversity of neural enhancers

BMC Genomics ◽  
2015 ◽  
Vol 16 (1) ◽  
Author(s):  
Jermaine Ross ◽  
Alexander Kuzin ◽  
Thomas Brody ◽  
Ward F. Odenwald
Keyword(s):  
Regulatory Analysis

scholarly journals Cistrome Data Browser: expanded datasets and new tools for gene regulatory analysis

2018 ◽  
Vol 47 (D1) ◽  
pp. D729-D735 ◽  
Author(s):  
Rongbin Zheng ◽  
Changxin Wan ◽  
Shenglin Mei ◽  
Qian Qin ◽  
Qiu Wu ◽  
...  
Keyword(s):  
Gene Regulatory ◽  
Regulatory Analysis

scholarly journals Differential Regulatory Analysis Based on Coexpression Network in Cancer Research

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Junyi Li ◽  
Yi-Xue Li ◽  
Yuan-Yuan Li
Keyword(s):  
Cancer Research ◽  
Large Scale ◽  
Rapid Development ◽  
Differential Expression Analysis ◽  
Coexpression Network ◽  
Differential Analysis ◽  
Integrative Research ◽  
Research Fields ◽  
System Properties ◽  
Regulatory Analysis

With rapid development of high-throughput techniques and accumulation of big transcriptomic data, plenty of computational methods and algorithms such as differential analysis and network analysis have been proposed to explore genome-wide gene expression characteristics. These efforts are aiming to transform underlying genomic information into valuable knowledges in biological and medical research fields. Recently, tremendous integrative research methods are dedicated to interpret the development and progress of neoplastic diseases, whereas differential regulatory analysis (DRA) based on gene coexpression network (GCN) increasingly plays a robust complement to regular differential expression analysis in revealing regulatory functions of cancer related genes such as evading growth suppressors and resisting cell death. Differential regulatory analysis based on GCN is prospective and shows its essential role in discovering the system properties of carcinogenesis features. Here we briefly review the paradigm of differential regulatory analysis based on GCN. We also focus on the applications of differential regulatory analysis based on GCN in cancer research and point out that DRA is necessary and extraordinary to reveal underlying molecular mechanism in large-scale carcinogenesis studies.

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