Time-course Transcriptomics
Time-Course Transcriptomics is a transcriptomic analysis approach that distinguishes itself by systematically profiling gene expression dynamics at multiple sequential time points following a biological stimulus or during a developmental process to capture temporal regulatory patterns in microbial systems.
103
Publications
6.6K
Citations
630
Authors
283
Institutions
Publications per year
2017–2026
39
Parents
103
General properties of transcriptional time series in Escherichia coli
Lok‐hang So, Anandamohan Ghosh, Chenghang Zong et al. · Nature Genetics · 2011 · 430 citations · Full text
Life Sciences, Biology, Microbiology +16
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283

Chinese Academy of Sciences
Beijing, China
6 h-index
27 publications
679 citations
Harvard University
Cambridge, United States
4 h-index
8 publications
324 citations
University of Illinois Urbana-Champaign
Urbana, United States
4 h-index
11 publications
1.6K citations
The University of Tokyo
Tokyo, Japan
4 h-index
12 publications
1.4K citations
Tongji University
Shanghai, China
3 h-index
6 publications
316 citations

Keio University
Tokyo, Japan
3 h-index
7 publications
1.5K citations
Max Planck Institute of Molecular Plant Physiology
Potsdam, Germany
3 h-index
7 publications
753 citations

University of Georgia
Athens, United States
3 h-index
11 publications
513 citations
1–8 of 283
9 publications · 1.4K citations
9
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8 publications · 367 citations
8
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6 publications · 187 citations
6
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3 publications · 529 citations
3
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3 publications · 55 citations
3
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1–5