Wei-Mou Zheng
Chinese Academy of Sciences
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Featured researches published by Wei-Mou Zheng.
Science | 2002
Jun Yu; Songnian Hu; Jun Wang; Gane Ka-Shu Wong; Songgang Li; Bin Liu; Yajun Deng; Yan Zhou; Xiuqing Zhang; Mengliang Cao; Jing Liu; Jiandong Sun; Jiabin Tang; Yanjiong Chen; Xiaobing Huang; Wei Lin; Chen Ye; Wei Tong; Lijuan Cong; Jianing Geng; Yujun Han; Lin Li; Wei Li; Guangqiang Hu; Xiangang Huang; Wenjie Li; Jian Li; Zhanwei Liu; Long Li; Jianping Liu
The genome of the japonica subspecies of rice, an important cereal and model monocot, was sequenced and assembled by whole-genome shotgun sequencing. The assembled sequence covers 93% of the 420-megabase genome. Gene predictions on the assembled sequence suggest that the genome contains 32,000 to 50,000 genes. Homologs of 98% of the known maize, wheat, and barley proteins are found in rice. Synteny and gene homology between rice and the other cereal genomes are extensive, whereas synteny with Arabidopsis is limited. Assignment of candidate rice orthologs to Arabidopsis genes is possible in many cases. The rice genome sequence provides a foundation for the improvement of cereals, our most important crops.
Nature | 2012
Junjie Qin; Yingrui Li; Zhiming Cai; Shenghui Li; Jianfeng Zhu; Fan Zhang; Suisha Liang; Wenwei Zhang; Yuanlin Guan; Dongqian Shen; Yangqing Peng; Dongya Zhang; Zhuye Jie; Wenxian Wu; Youwen Qin; Wenbin Xue; Junhua Li; Lingchuan Han; Donghui Lu; Peixian Wu; Yali Dai; Xiaojuan Sun; Zesong Li; Aifa Tang; Shilong Zhong; Xiaoping Li; Weineng Chen; Ran Xu; Mingbang Wang; Qiang Feng
Assessment and characterization of gut microbiota has become a major research area in human disease, including type 2 diabetes, the most prevalent endocrine disease worldwide. To carry out analysis on gut microbial content in patients with type 2 diabetes, we developed a protocol for a metagenome-wide association study (MGWAS) and undertook a two-stage MGWAS based on deep shotgun sequencing of the gut microbial DNA from 345 Chinese individuals. We identified and validated approximately 60,000 type-2-diabetes-associated markers and established the concept of a metagenomic linkage group, enabling taxonomic species-level analyses. MGWAS analysis showed that patients with type 2 diabetes were characterized by a moderate degree of gut microbial dysbiosis, a decrease in the abundance of some universal butyrate-producing bacteria and an increase in various opportunistic pathogens, as well as an enrichment of other microbial functions conferring sulphate reduction and oxidative stress resistance. An analysis of 23 additional individuals demonstrated that these gut microbial markers might be useful for classifying type 2 diabetes.
Nucleic Acids Research | 2006
Heng Li; Avril Coghlan; Jue Ruan; Lachlan Coin; Jean-Karim Hériché; Lara Osmotherly; Ruiqiang Li; Tao Liu; Zhang Zhang; Lars Bolund; Gane Ka-Shu Wong; Wei-Mou Zheng; Paramvir Dehal; Jun Wang; Richard Durbin
TreeFam is a database of phylogenetic trees of gene families found in animals. It aims to develop a curated resource that presents the accurate evolutionary history of all animal gene families, as well as reliable ortholog and paralog assignments. Curated families are being added progressively, based on seed alignments and trees in a similar fashion to Pfam. Release 1.1 of TreeFam contains curated trees for 690 families and automatically generated trees for another 11 646 families. These represent over 128 000 genes from nine fully sequenced animal genomes and over 45 000 other animal proteins from UniProt; ∼40–85% of proteins encoded in the fully sequenced animal genomes are included in TreeFam. TreeFam is freely available at and .
Archive | 1998
Bailin Hao; Wei-Mou Zheng
Symbolic dynamics of unimodal maps maps with multiple critical points symbolic dynamics of circle maps symbolic dynamics of two-dimensional maps application to ordinary differential equations counting the number of periodic orbits symbolic dynamics and grammatical complexity symbolic dynamics and knot theory.
Bioinformatics | 2006
Yingfu Zhong; An-Yuan Guo; Qihui Zhu; Wen Tang; Wei-Mou Zheng; Xiaocheng Gu; Liping Wei; Jingchu Luo
SUMMARY DRTF contains 2025 putative transcription factors (TFs) in Oryza sativa L. ssp. indica and 2384 in ssp. japonica, distributed in 63 families, identified by computational prediction and manual curation. It includes detailed annotations of each TF including sequence features, functional domains, Gene Ontology assignment, chromosomal localization, EST and microarray expression information, as well as multiple sequence alignment of the DNA-binding domains for each TF family. The database can be browsed and searched with a user-friendly web interface. AVAILABILITY DRTF is available at http://drtf.cbi.pku.edu.cn
BMC Medical Genomics | 2012
Fuman Jiang; Jinghui Ren; Fang-Fang Chen; Yuqiu Zhou; Jiansheng Xie; Shan Dan; Yue Su; Jianhong Xie; Baomin Yin; Wen Su; Huakun Zhang; Wei-wei Wang; Xianghua Chai; Linhua Lin; Hui Guo; Qiyun Li; Peipei Li; Yuying Yuan; Xiaoyu Pan; Yihan Li; Lifu Liu; Huifei Chen; Zhaoling Xuan; Shengpei Chen; Chunlei Zhang; Hongyun Zhang; Zhongming Tian; Zhengyu Zhang; Hui-Hui Jiang; Lijian Zhao
BackgroundConventional prenatal screening tests, such as maternal serum tests and ultrasound scan, have limited resolution and accuracy.MethodsWe developed an advanced noninvasive prenatal diagnosis method based on massively parallel sequencing. The Noninvasive Fetal Trisomy (NIFTY) test, combines an optimized Student’s t-test with a locally weighted polynomial regression and binary hypotheses. We applied the NIFTY test to 903 pregnancies and compared the diagnostic results with those of full karyotyping.Results16 of 16 trisomy 21, 12 of 12 trisomy 18, two of two trisomy 13, three of four 45, X, one of one XYY and two of two XXY abnormalities were correctly identified. But one false positive case of trisomy 18 and one false negative case of 45, X were observed. The test performed with 100% sensitivity and 99.9% specificity for autosomal aneuploidies and 85.7% sensitivity and 99.9% specificity for sex chromosomal aneuploidies. Compared with three previously reported z-score approaches with/without GC-bias removal and with internal control, the NIFTY test was more accurate and robust for the detection of both autosomal and sex chromosomal aneuploidies in fetuses.ConclusionOur study demonstrates a powerful and reliable methodology for noninvasive prenatal diagnosis.
Chaos Solitons & Fractals | 1994
Wei-Mou Zheng
The kneading plane spanned by the pair of kneading sequences for maps of a circle to itself is the parameter space directly reflecting the dynamics. The structure of the kneading plane is analysed, a method for construction of the kneading plane proposed, and the constructed kneading plane shown.
Chinese Science Bulletin | 2001
Jun Yu; Songnian Hu; Jun Wang; Songgang Li; Ka-Shu Gane Wong; Bin Liu; Yajun Deng; Li Dai; Yan Zhou; Xiuqing Zhang; Mengliang Cao; Jing Liu; Jiandong Sun; Jiabin Tang; Yanjiong Chen; Xiaobing Huang; Wei Lin; Chen Ye; Wei Tong; Lijuan Cong; Jianing Geng; Yujun Han; Lin Li; Wei Li; Guangqiang Hu; Xiangang Huang; Wenjie Li; Jian Li; Zhanwei Liu; Long Li
The sequence of the rice genome holds fundamental information for its biology, including physiology, genetics, development, and evolution, as well as information on many beneficial phenotypes of economic significance. Using a “whole genome shotgun” approach, we have produced a draft rice genome sequence ofOryza sativa ssp.indica, the major crop rice subspecies in China and many other regions of Asia. The draft genome sequence is constructed from over 4.3 million successful sequencing traces with an accumulative total length of 2214.9 Mb. The initial assembly of the non-redundant sequences reached 409.76 Mb in length, based on 3.30 million successful sequencing traces with a total length of 1797.4 Mb from anindica variant cultivar93-11, giving an estimated coverage of 95.29% of the rice genome with an average base accuracy of higher than 99%. The coverage of the draft sequence, the randomness of the sequence distribution, and the consistency of BIG-ASSEMBLER, a custom-designed software package used for the initial assembly, were verified rigorously by comparisons against finished BAC clone sequences from bothindica andjapanica strains, available from the public databases. Over all, 96.3% of full-length cDNAs, 96.4% of STS, STR, RFLP markers, 94.0% of ESTs and 94.9% unigene clusters were identified from the draft sequence. Our preliminary analysis on the data set shows that our rice draft sequence is consistent with the comman standard accepted by the genome sequencing community. The unconditional release of the draft to the public also undoubtedly provides a fundamental resource to the international scientific communities to facilitate genomic and genetic studies on rice biology.
arXiv: Biomolecules | 2005
Wei-Mou Zheng; Xin Liu
By using a mixture model for the density distribution of the three pseudobond angles formed by Cα atoms of four consecutive residues, the local structural states are discretized as 17 conformational letters of a protein structural alphabet. This coarse-graining procedure converts a 3D structure to a 1D code sequence. A substitution matrix between these letters is constructed based on the structural alignments of the FSSP database.
Journal of Computer Science and Technology | 2005
Heng Li; Jinsong Liu; Zhao Xu; Jiao Jin; Lin Fang; Lei Gao; Yu-Dong Li; Zi-Xing Xing; Shao-Gen Gao; Tao Liu; Haihong Li; Yan Li; Lijun Fang; Huimin Xie; Wei-Mou Zheng; Bailin Hao
With several rice genome projects approaching completion gene prediction/finding by computer algorithms has become an urgent task. Two test sets were constructed by mapping the newly published 28,469 full-length KOME rice cDNA to the RGP BAC clone sequences of Oryza sativa ssp. japonica: a single-gene set of 550 sequences and a multi-gene set of 62 sequences with 271 genes. These data sets were used to evaluate five ab initio gene prediction programs: RiceHMM, GlimmerR, GeneMark, FGENSH and BGF. The predictions were compared on nucleotide, exon and whole gene structure levels using commonly accepted measures and several new measures. The test results show a progress in performance in chronological order. At the same time complementarity of the programs hints on the possibility of further improvement and on the feasibility of reaching better performance by combining several gene-finders.