Automated Author ProfileNie, Wenhui
Nie, Wenhui
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: 5.0 (sum of 5 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
No description available
Authors
- Liu, Liang ;
- Zhang, Jin ;
- Rheindt, Frank E. ;
- Lei, Fumin ;
- Qu, Yanhua ;
- Wang, Yu ;
- Zhang, Yu ;
- Sullivan, Corwin ;
- Nie, Wenhui ;
- Wang, Jinhuan ;
- Yang, Fengtang ;
- Chen, Jinping ;
- Edwards, Scott V. ;
- Meng, Jin ;
- Wu, Shaoyuan
No description available
Authors
- Liu, Liang ;
- Zhang, Jin ;
- Rheindt, Frank E. ;
- Lei, Fumin ;
- Qu, Yanhua ;
- Wang, Yu ;
- Zhang, Yu ;
- Sullivan, Corwin ;
- Nie, Wenhui ;
- Wang, Jinhuan ;
- Yang, Fengtang ;
- Chen, Jinping ;
- Edwards, Scott V. ;
- Meng, Jin ;
- Wu, Shaoyuan
No description available
Authors
- Liu, Liang ;
- Zhang, Jin ;
- Rheindt, Frank E. ;
- Lei, Fumin ;
- Qu, Yanhua ;
- Wang, Yu ;
- Zhang, Yu ;
- Sullivan, Corwin ;
- Nie, Wenhui ;
- Wang, Jinhuan ;
- Yang, Fengtang ;
- Chen, Jinping ;
- Edwards, Scott V. ;
- Meng, Jin ;
- Wu, Shaoyuan
The domestic goat is one of the most important livestock species in the world, especially in China, India and other developing countries. Goats not only serve as an important source of meat, milk, fiber and pelts, and have fulfilled agricultural, economic, cultural and even religious roles from very early times in human civilization, but also are now used as animal models for biomedical research and transgene production of protein medicines.We would like to share all the genome data of goat. We hope the genome sequence of goat can provide a new resource for biological research and breeding of goat and other small ruminants.
We sequenced the 2.92 Gb genome to a depth of approximately 65.6 X with short reads from a series of libraries with various insert sizes ( 170 bp, 350 bp, 800 bp, 2 kb, 5 kb, 10 kb and 20 kb) on a HiSeq 2000 sequencer.
The assembled scaffolds of high quality sequences total 191.5 Gb, with the contig and scaffold N50 values of 18.7 kb and 2.21 Mb respectively. We identified 22,175 protein-coding genes.In addition, we also provide the restriction-enzyme fragment maps derived from the whole genome mapping (WGM) technology developed by the Argus System (method described in this paper).
Scaffolds derived from de novo assembly of next-generation sequencing data are converted into restriction maps by in silico restriction enzyme digestion. Then, the distance between restriction enzyme sites in the sequencing-derived scaffolds are matched to the lengths of the optical fragments in the single-molecule WGM restriction maps. Matches allow the scaffolds to be extended and linked into super-scaffolds.
Authors
- Dong, Yang ;
- Xie, Min ;
- Jiang, Yu ;
- Xiao, Nianqing ;
- Du, Xiaoyong ;
- Zhang, Wenguang ;
- Tosser-Klopp, Gwenola ;
- Wang, Jinhuan ;
- Yang, Shuang ;
- Liang, Jie ;
- Chen, Wenbin ;
- Chen, Jing ;
- Zeng, Peng ;
- Hou, Yong ;
- Bian, Chao ;
- Pan, Shengkai ;
- Li, Yuxiang ;
- Liu, Xin ;
- Wang, Wenliang ;
- Servin, Bertrand ;
- Sayre, Brian ;
- Zhu, Bin ;
- Sweeney, Deacon ;
- Moore, Rich ;
- Nie, Wenhui ;
- Shen, Yongyi ;
- Zhao, Ruoping ;
- Zhang, Guojie ;
- Li, Jinquan ;
- Faraut, Thomas ;
- Womack, James ;
- Zhang, Yaping ;
- Kijas, James ;
- Cockett, Noelle, E ;
- Xu, Xun ;
- Zhao, Shuhong ;
- Wang, Jun ;
- Wang, Wen
The giant panda (Ailuropoda melanoleuca) is considered a symbol of China and is a much loved animal all around the world. It is also one of the worlds most endangered species, making it a flagship species for conservation efforts. As the first fully sequenced Ursidae and the second fully sequenced carnivore after the dog, the whole genome sequence and annotation data provide an unparalleled amount of information to aid in understanding the genetic and biological underpinnings of this unique species, and will help contribute to disease control and conservation efforts.In 2008, BGI completed a first draft of the genome sequence of a three-year old female giant panda named Jingjing, who was used as a model for the 2008 Olympics in Beijing, China (doi: 10.1038/nature08696). Using second-generation Illumina GA sequencing data, the first de novo genome assembly was created using short-read sequencing technology. Here you will find the giant panda genome sequence assembly as well as annotation information, such as gene structure and function, non-coding RNAs, and repeat elements. Also presented are polymorphism information detected in the diploid genome, including SNPs, indels, and structural variations (SVs). The assembly was done using SOAPdenovo software and the panda genome data is visualized via MapView, which is powered by the Google Web Toolkit.
Authors
- Li, Ruiqiang ;
- Fan, Wei ;
- Tian, Geng ;
- Zhu, Hongmei ;
- He, Lin ;
- Cai, Jing ;
- Huang, Quanfei ;
- Cai, Qingle ;
- Li, Bo ;
- Bai, Yinqi ;
- Zhang, Zhihe ;
- Zhang, Yaping ;
- Wang, Wen ;
- Li, Jun ;
- Wei, Fuwen ;
- Li, Heng ;
- Jian, Min ;
- Li, Jianwen ;
- Zhang, Zhaolei ;
- Nielsen, Rasmus ;
- Li, Dawei ;
- Gu, Wanjun ;
- Yang, Zhentao ;
- Xuan, Zhaoling ;
- Ryder, Oliver, A ;
- Leung, Frederick, Chi-Ching ;
- Zhou, Yan ;
- Cao, Jianjun ;
- Sun, Xiao ;
- Fu, Yonggui ;
- Fang, Xiaodong ;
- Guo, Xiaosen ;
- Wang, Bo ;
- Hou, Rong ;
- Shen, Fujun ;
- Mu, Bo ;
- Ni, Peixiang ;
- Lin, Runmao ;
- Qian, Wubin ;
- Wang, Guodong ;
- Yu, Chang ;
- Nie, Wenhui ;
- Wang, Jinhuan ;
- Wu, Zhigang ;
- Liang, Huiqing ;
- Min, Jiumeng ;
- Wu, Qi ;
- Cheng, Shifeng ;
- Ruan, Jue ;
- Wang, Mingwei ;
- Shi, Zhongbin ;
- Wen, Ming ;
- Liu, Binghang ;
- Ren, Xiaoli ;
- Zheng, Huisong ;
- Dong, Dong ;
- Cook, Kathleen ;
- Shan, Gao ;
- Zhang, Hao ;
- Kosiol, Carolin ;
- Xie, Xueying ;
- Lu, Zuhong ;
- Zheng, Hancheng ;
- Li, Yingrui ;
- Steiner, Cynthia, C ;
- Lam, Tommy, Tsan-Yuk ;
- Lin, Siyuan ;
- Zhang, Qinghui ;
- Li, Guoqing ;
- Tian, Jing ;
- Gong, Timing ;
- Liu, Hongde ;
- Zhang, Dejin ;
- Fang, Lin ;
- Ye, Chen ;
- Zhang, Juanbin ;
- Hu, Wenbo ;
- Xu, Anlong ;
- Ren, Yuanyuan ;
- Zhang, Guojie ;
- Bruford, Michael, W ;
- Li, Qibin ;
- Ma, Lijia ;
- Guo, Yiran ;
- An, Na ;
- Hu, Yujie ;
- Zheng, Yang ;
- Shi, Yongyong ;
- Li, Zhiqiang ;
- Liu, Qing ;
- Chen, Yanling ;
- Zhao, Jing ;
- Qu, Ning ;
- Zhao, Shancen ;
- Tian, Feng ;
- Wang, Xiaoling ;
- Wang, Haiyin ;
- Xu, Lizhi ;
- Liu, Xiao ;
- Vinar, Tomas ;
- Wang, Yajun ;
- Lam, Tak-Wah ;
- Yiu, Siu-Ming ;
- Liu, Shiping ;
- Zhang, Hemin ;
- Li, Desheng ;
- Huang, Yan ;
- Wang, Xia ;
- Yang, Guohua ;
- Jiang, Zhi ;
- Wang, Junyi ;
- Qin, Nan ;
- Li, Li ;
- Li, Jingxiang ;
- Bolund, Lars ;
- Kristiansen, Karsten ;
- Wong, Gane, Ka-Shu ;
- Olson, Maynard ;
- Zhang, Xiuqing ;
- Li, Songgang ;
- Yang, Huanming ;
- Wang, Jian ;
- Wang, Jun