Automated Author Profile

Nie, Wenhui

Current S-Index

5.0

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.0

Average Dataset Index per dataset

Total Datasets

5

Total datasets for this author

Average FAIR Score

59.2%

Average FAIR Score per dataset

Total Citations

5

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

alignments of placental mammals

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
0 Citations0 Mentions81% FAIR0.1 Dataset Index
10.5061/dryad.bp462/12017

maximum likelihood gene trees

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
0 Citations0 Mentions77% FAIR0.8 Dataset Index
10.5061/dryad.bp462/22017

mcmctree

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
0 Citations0 Mentions77% FAIR0.8 Dataset Index
10.5061/dryad.bp462/32017

Genomic data of the domestic goat (<em>Capra hircus</em>).

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
4 Citations0 Mentions31% FAIR2.4 Dataset Index
10.5524/1000822014

Genomic data from the giant panda (<em>Ailuropoda melanoleuca</em>).

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
1 Citation0 Mentions31% FAIR1.1 Dataset Index
10.5524/1000042011