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Strategies to identify natural antisense transcripts
Yulong Sun
, Dijie Li
, Ru Zhang
, Shang Peng
,
Ge ZHANG
, Tuanmin Yang
, Airong Qian
*
*
Corresponding author for this work
Institute for Advancing Translational Medicine in Bone and Joint Diseases
School of Chinese Medicine
Research output
:
Contribution to journal
›
Review article
›
peer-review
21
Citations (Scopus)
Overview
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Keyphrases
Gene Expression
100%
Natural Antisense Transcripts
100%
RNA Sequencing (RNA-seq)
50%
Publicly Available
50%
High-throughput Sequencing
50%
Application Method
50%
Post-transcriptional
50%
Biological Processes
50%
Efficient Strategy
50%
Gene Regulation
50%
Transcriptional Noise
50%
Huge Data
50%
Junk DNA
50%
Transcriptional Analysis
50%
Biochemistry, Genetics and Molecular Biology
Gene Expression
100%
Antisense
100%
High Throughput Sequencing
50%
RNA Sequencing
50%
Biological Phenomena and Functions Concerning the Entire Organism
50%
Intergenic Region
50%
Transcriptional Noise
50%
Gene Control
50%
Immunology and Microbiology
Gene Expression
100%
Antisense
100%
High Throughput Sequencing
50%
Biological Phenomena and Functions Concerning the Entire Organism
50%
RNA Sequencing
50%
Gene Control
50%
Neuroscience
Gene Expression
100%
Intergenic Region
50%
Gene Control
50%
RNA-Seq
50%
Food Science
Gene Expression
100%
Antisense
100%
RNA Sequencing
50%