Automated Author ProfileXiaochun Wan
Xiaochun Wan
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: 15.2 (sum of 14 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Tea is a globally consumed non-alcohol beverage with great economic importance. Lacking of the reference genome has largely hampered the utilization of the precious tea plant genetic resources towards breeding. To address this, we generated a high-quality reference genome of tea plant using Illumina and PacBio sequencing technology that totally produced 2,124 Gb (~700-fold coverage) short and 125 Gb (~41-fold) long read data, respectively. We employed a hybrid strategy to assemble the genome that has been publicly released. We here described the data framework used to generate, annotate and validate the genome assembly. Besides, we re-predicted the protein-coding genes and annotated their putative functions using more complete omics datasets and improved training models. We reassessed the assembly and annotation quality using the latest version of BUSCO. These data can be used to develop new methodologies/tools for better assembly of complex genomes, aid in finding of novel genes, variations and evolutionary clues associated with tea quality, and thus help to breed new varieties with high yields and quality in the future.
Authors
- Enhua Xia ;
- Chaoling Wei ;
- Xiaochun Wan
Tea is a globally consumed non-alcohol beverage with great economic importance. Lacking of the reference genome has largely hampered the utilization of the precious tea plant genetic resources towards breeding. To address this, we generated a high-quality reference genome of tea plant using Illumina and PacBio sequencing technology that totally produced 2,124 Gb (~700-fold coverage) short and 125 Gb (~41-fold) long read data, respectively. We employed a hybrid strategy to assemble the genome that has been publicly released. We here described the data framework used to generate, annotate and validate the genome assembly. Besides, we re-predicted the protein-coding genes and annotated their putative functions using more complete omics datasets and improved training models. We reassessed the assembly and annotation quality using the latest version of BUSCO. These data can be used to develop new methodologies/tools for better assembly of complex genomes, aid in finding of novel genes, variations and evolutionary clues associated with tea quality, and thus help to breed new varieties with high yields and quality in the future.
Authors
- Enhua Xia ;
- Chaoling Wei ;
- Xiaochun Wan
The rich factors and number of genes involved in each pathway derived from a comparison of gene expression in TBvsTL, OTBvsOTL, TBvsOTB and TL2vsOTL2. TBvsOTB stands for tea buds versus oil tea buds, TBvsTL for tea buds versus tea leaves, TLvsOTL for tea leaves versus oil tea leaves and OTBvsOTL for oil tea buds versus leaves. (XLSX 16Â kb)
Authors
- Yuling Tai ;
- Chaoling Wei ;
- Yang, Hua ;
- Zhang, Liang ;
- Chen, Qi ;
- Weiwei Deng ;
- Wei, Shu ;
- Zhang, Jing ;
- Congbing Fang ;
- Chitang Ho ;
- Xiaochun Wan
Information about the genes involved in the flavonoid, theanine and caffeine biosynthesis pathways. Unigenes involved in three metabolic pathways were annotated by alignment to the Swiss-Prot, COG and KEGG databases with e-values less than 1 × 10−30. (XLSX 82 kb)
Authors
- Yuling Tai ;
- Chaoling Wei ;
- Yang, Hua ;
- Zhang, Liang ;
- Chen, Qi ;
- Weiwei Deng ;
- Wei, Shu ;
- Zhang, Jing ;
- Congbing Fang ;
- Chitang Ho ;
- Xiaochun Wan
List of DEGs analyzed by qRT-PCR. A total of 34 genes involved in the flavonoid, theanine and caffeine biosynthesis pathways were analyzed by qRT-PCR. (XLSX 16Â kb)
Authors
- Yuling Tai ;
- Chaoling Wei ;
- Yang, Hua ;
- Zhang, Liang ;
- Chen, Qi ;
- Weiwei Deng ;
- Wei, Shu ;
- Zhang, Jing ;
- Congbing Fang ;
- Chitang Ho ;
- Xiaochun Wan
Estimated Ka and Ks values of 625 orthologous gene pairs (Ka/Ksâ >â 1). The sequence length, nonsynonymous substitution rate (Ka), synonymous substitution rate (Ks), Ka/Ks and P-value are shown. (XLSX 51Â kb)
Authors
- Yuling Tai ;
- Chaoling Wei ;
- Yang, Hua ;
- Zhang, Liang ;
- Chen, Qi ;
- Weiwei Deng ;
- Wei, Shu ;
- Zhang, Jing ;
- Congbing Fang ;
- Chitang Ho ;
- Xiaochun Wan
Estimated Ka and Ks values of 625 orthologous gene pairs (Ka/Ksâ >â 1). The sequence length, nonsynonymous substitution rate (Ka), synonymous substitution rate (Ks), Ka/Ks and P-value are shown. (XLSX 51Â kb)
Authors
- Yuling Tai ;
- Chaoling Wei ;
- Yang, Hua ;
- Zhang, Liang ;
- Chen, Qi ;
- Weiwei Deng ;
- Wei, Shu ;
- Zhang, Jing ;
- Congbing Fang ;
- Chitang Ho ;
- Xiaochun Wan
Annotation of assembled unigenes of tea and oil tea. (XLSX 16149Â kb)
Authors
- Yuling Tai ;
- Chaoling Wei ;
- Yang, Hua ;
- Zhang, Liang ;
- Chen, Qi ;
- Weiwei Deng ;
- Wei, Shu ;
- Zhang, Jing ;
- Congbing Fang ;
- Chitang Ho ;
- Xiaochun Wan
Information about the genes involved in the flavonoid, theanine and caffeine biosynthesis pathways. Unigenes involved in three metabolic pathways were annotated by alignment to the Swiss-Prot, COG and KEGG databases with e-values less than 1 × 10−30. (XLSX 82 kb)
Authors
- Yuling Tai ;
- Chaoling Wei ;
- Yang, Hua ;
- Zhang, Liang ;
- Chen, Qi ;
- Weiwei Deng ;
- Wei, Shu ;
- Zhang, Jing ;
- Congbing Fang ;
- Chitang Ho ;
- Xiaochun Wan
The rich factors and number of genes involved in each pathway derived from a comparison of gene expression in TBvsTL, OTBvsOTL, TBvsOTB and TL2vsOTL2. TBvsOTB stands for tea buds versus oil tea buds, TBvsTL for tea buds versus tea leaves, TLvsOTL for tea leaves versus oil tea leaves and OTBvsOTL for oil tea buds versus leaves. (XLSX 16Â kb)
Authors
- Yuling Tai ;
- Chaoling Wei ;
- Yang, Hua ;
- Zhang, Liang ;
- Chen, Qi ;
- Weiwei Deng ;
- Wei, Shu ;
- Zhang, Jing ;
- Congbing Fang ;
- Chitang Ho ;
- Xiaochun Wan