Automated Author ProfileZhou, Peng
Zhou, Peng
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 72.1 (sum of 97 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
No description available
Authors
- Zhou, Peng
No description available
Authors
- Zulfiqar, Hasan ;
- Dao, Fu-Ying ;
- Lv, Hao ;
- Yang, Hui ;
- Zhou, Peng ;
- Wg Chen ;
- Lin, Hao
This data record contains a single .xml file holding annotation data, analysis results and primer sequences for comparitive transcriptome analysis of homografted and heterografted tomato seedlings. The data tables correspond to supplementary tables 1-4 in the related research publication.
The data file can be accessed via MS Excel, or openly available spreadsheet or notepad software.
The related study investigates potential molecular mechanisms involved in plant grafting using genetic approaches, in particular underlying mechanisms implicated in the regulation of development and stress responses at the whole-plant level. The investigation employs transcriptome analysis of grafted plants to reveal specific genes involved in the regulation of grafting-induced physiological responses. Transcriptome results are validated using quantitative real-time PCR (qPCR) analysis.
The study provides a foundation for the elucidation of the differentially expressed genes (DEGs) in the scion of hetero- and homografted seedlings. Grafting is significant in vegetable production to enhance plant vigour through the avoidance of soil pathogens and the increased tolerance to low temperature, high salinity, and drought.
The data files contains the following elements:
Supplementary Table S1. The DEGs and functional annotation detected between hetero- and homografted tomato seedlings. Including: gene names, fold changes, biotypes and other annotations.Supplementary Table S2. KEGG pathway enrichment analysis detected between hetero- and homografted tomato seedlings. Including: athway name, mapping and gene counts.
Supplementary Table S3. Familial classification of transcription factors differentially expressed in the scion of heterografted tomato seedlings, Including: Gene name, References sepcies, family and reference gene introduction.
Supplementary table S4. Quantitative real-time PCR (RT-qPCR) validated primer sequences for selected differentially expressed genes detected between hetero- and homografted tomato seedlings.
Raw FASTQ files were deposited in the NCBI Sequence Read Archive under the accession number SUB5937299
Authors
- Zhou, Peng ;
- Wang, Hui ;
- Wenying Zhu ;
- Wenli Li ;
- Wang, Fu
Regulation of gene expression is central to many biological processes. Gene regulatory networks (GRNs) link transcription factors (TFs) to their target genes and represent a map of potential transcriptional regulation. A consistent analysis of a large number of public maize transcriptome datasets including >6000 RNA-Seq samples was used to generate 45 co- expression based GRNs that represent potential regulatory relationships between TFs and other genes in different populations of samples (cross-tissue, cross-genotype, tissue-and-genotype, etc). While these networks are all enriched for biologically relevant interactions, different networks capture distinct TF-target associations and biological processes.
Authors
- Zhou, Peng ;
- Springer, Nathan M.
This data record contains a single .xml file holding annotation data, analysis results and primer sequences for comparitive transcriptome analysis of homografted and heterografted tomato seedlings. The data tables correspond to supplementary tables 1-4 in the related research publication.
The data file can be accessed via MS Excel, or openly available spreadsheet or notepad software.
The related study investigates potential molecular mechanisms involved in plant grafting using genetic approaches, in particular underlying mechanisms implicated in the regulation of development and stress responses at the whole-plant level. The investigation employs transcriptome analysis of grafted plants to reveal specific genes involved in the regulation of grafting-induced physiological responses. Transcriptome results are validated using quantitative real-time PCR (qPCR) analysis.
The study provides a foundation for the elucidation of the differentially expressed genes (DEGs) in the scion of hetero- and homografted seedlings. Grafting is significant in vegetable production to enhance plant vigour through the avoidance of soil pathogens and the increased tolerance to low temperature, high salinity, and drought.
The data files contains the following elements:
Supplementary Table S1. The DEGs and functional annotation detected between hetero- and homografted tomato seedlings. Including: gene names, fold changes, biotypes and other annotations.Supplementary Table S2. KEGG pathway enrichment analysis detected between hetero- and homografted tomato seedlings. Including: athway name, mapping and gene counts.
Supplementary Table S3. Familial classification of transcription factors differentially expressed in the scion of heterografted tomato seedlings, Including: Gene name, References sepcies, family and reference gene introduction.
Supplementary table S4. Quantitative real-time PCR (RT-qPCR) validated primer sequences for selected differentially expressed genes detected between hetero- and homografted tomato seedlings.
Raw FASTQ files were deposited in the NCBI Sequence Read Archive under the accession number SUB5937299
Authors
- Zhou, Peng ;
- Wang, Hui ;
- Wenying Zhu ;
- Wenli Li ;
- Wang, Fu
The health survey of the homeless people.
Authors
- Zhou, Peng
This dataset regroups the available data of measurements of iodide in the surface waters (upper 20 m) of the global oceans. It includes digitised data from published manuscripts, published and unpublished data supplied by the originators themselves or provided by repositories. It contains 1342 datapoints and spans latitudes from -70S to 68N and data from all major ocean basins. These data are made available under the Open Government Licence: http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
Authors
- Chance, Rosie ;
- Tinel, Liselotte ;
- Sherwen, Tomás ;
- Baker, Alex ;
- Bell, Thomas ;
- Brindle, John ;
- Campos, Maria L A M ;
- Croot, Peter ;
- Ducklow, Hugh ;
- He, Peng ;
- Hoogakker, Babette ;
- Hopkins, Frances E ;
- Hughes, Claire ;
- Jickells, Tim ;
- Loades, David ;
- Reyes Macaya, Dharma A ;
- Mahajan, Anoop S ;
- Malin, Gill ;
- Phillips, Daniel P ;
- Sinha, Alok K ;
- Sarkar, Amit ;
- Roberts, Ieuan J ;
- Roy, Rajdeep ;
- Song, Xiuxian ;
- Winklebauer, Helge A ;
- Wuttig, Kathrin ;
- Yang, Mingxi ;
- Zhou, Peng ;
- Carpenter, Lucy J
The health survey of the homeless people.
Authors
- Zhou, Peng
The health survey of the homeless people.
Authors
- Zhou, Peng