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Dive into the research topics where Chang Yu is active.

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Featured researches published by Chang Yu.


Nature | 2010

A human gut microbial gene catalogue established by metagenomic sequencing

Junjie Qin; Ruiqiang Li; Jeroen Raes; Manimozhiyan Arumugam; Kristoffer Sølvsten Burgdorf; Chaysavanh Manichanh; Trine Nielsen; Nicolas Pons; Florence Levenez; Takuji Yamada; Daniel R. Mende; Junhua Li; Junming Xu; Shaochuan Li; Dongfang Li; Jianjun Cao; Bo Wang; Huiqing Liang; Huisong Zheng; Yinlong Xie; Julien Tap; Patricia Lepage; Marcelo Bertalan; Jean-Michel Batto; Torben Hansen; Denis Le Paslier; Allan Linneberg; H. Bjørn Nielsen; Eric Pelletier; Pierre Renault

To understand the impact of gut microbes on human health and well-being it is crucial to assess their genetic potential. Here we describe the Illumina-based metagenomic sequencing, assembly and characterization of 3.3 million non-redundant microbial genes, derived from 576.7 gigabases of sequence, from faecal samples of 124 European individuals. The gene set, ∼150 times larger than the human gene complement, contains an overwhelming majority of the prevalent (more frequent) microbial genes of the cohort and probably includes a large proportion of the prevalent human intestinal microbial genes. The genes are largely shared among individuals of the cohort. Over 99% of the genes are bacterial, indicating that the entire cohort harbours between 1,000 and 1,150 prevalent bacterial species and each individual at least 160 such species, which are also largely shared. We define and describe the minimal gut metagenome and the minimal gut bacterial genome in terms of functions present in all individuals and most bacteria, respectively.


Bioinformatics | 2009

SOAP2: an improved ultrafast tool for short read alignment

Ruiqiang Li; Chang Yu; Yingrui Li; Tak Wah Lam; Siu-Ming Yiu; Karsten Kristiansen; Jun Wang

SUMMARYnSOAP2 is a significantly improved version of the short oligonucleotide alignment program that both reduces computer memory usage and increases alignment speed at an unprecedented rate. We used a Burrows Wheeler Transformation (BWT) compression index to substitute the seed strategy for indexing the reference sequence in the main memory. We tested it on the whole human genome and found that this new algorithm reduced memory usage from 14.7 to 5.4 GB and improved alignment speed by 20-30 times. SOAP2 is compatible with both single- and paired-end reads. Additionally, this tool now supports multiple text and compressed file formats. A consensus builder has also been developed for consensus assembly and SNP detection from alignment of short reads on a reference genome.nnnAVAILABILITYnhttp://soap.genomics.org.cn.


GigaScience | 2012

SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler

Ruibang Luo; Binghang Liu; Yinlong Xie; Zhenyu Li; Weihua Huang; Jianying Yuan; Guangzhu He; Yanxiang Chen; Qi Pan; Yunjie Liu; Jingbo Tang; Gengxiong Wu; Hao Zhang; Yujian Shi; Yong Liu; Chang Yu; Bo Wang; Yao Lu; Changlei Han; David W. Cheung; Siu-Ming Yiu; Shaoliang Peng; Zhu Xiao-qian; Guangming Liu; Xiangke Liao; Yingrui Li; Huanming Yang; Jian Wang; Tak Wah Lam; Jun Wang

BackgroundThere is a rapidly increasing amount of de novo genome assembly using next-generation sequencing (NGS) short reads; however, several big challenges remain to be overcome in order for this to be efficient and accurate. SOAPdenovo has been successfully applied to assemble many published genomes, but it still needs improvement in continuity, accuracy and coverage, especially in repeat regions.FindingsTo overcome these challenges, we have developed its successor, SOAPdenovo2, which has the advantage of a new algorithm design that reduces memory consumption in graph construction, resolves more repeat regions in contig assembly, increases coverage and length in scaffold construction, improves gap closing, and optimizes for large genome.ConclusionsBenchmark using the Assemblathon1 and GAGE datasets showed that SOAPdenovo2 greatly surpasses its predecessor SOAPdenovo and is competitive to other assemblers on both assembly length and accuracy. We also provide an updated assembly version of the 2008 Asian (YH) genome using SOAPdenovo2. Here, the contig and scaffold N50 of the YH genome were ~20.9 kbp and ~22 Mbp, respectively, which is 3-fold and 50-fold longer than the first published version. The genome coverage increased from 81.16% to 93.91%, and memory consumption was ~2/3 lower during the point of largest memory consumption.


Nature | 2008

The diploid genome sequence of an Asian individual

Jun Wang; Wei Wang; Ruiqiang Li; Yingrui Li; Geng Tian; Laurie Goodman; Wei Fan; Junqing Zhang; Jun Li; Juanbin Zhang; Yiran Guo; Binxiao Feng; Heng Li; Yao Lu; Xiaodong Fang; Huiqing Liang; Z. Du; Dong Li; Yiqing Zhao; Yujie Hu; Zhenzhen Yang; Hancheng Zheng; Ines Hellmann; Michael Inouye; John E. Pool; Xin Yi; Jing Zhao; Jinjie Duan; Yan Zhou; Junjie Qin

Here we present the first diploid genome sequence of an Asian individual. The genome was sequenced to 36-fold average coverage using massively parallel sequencing technology. We aligned the short reads onto the NCBI human reference genome to 99.97% coverage, and guided by the reference genome, we used uniquely mapped reads to assemble a high-quality consensus sequence for 92% of the Asian individual’s genome. We identified approximately 3 million single-nucleotide polymorphisms (SNPs) inside this region, of which 13.6% were not in the dbSNP database. Genotyping analysis showed that SNP identification had high accuracy and consistency, indicating the high sequence quality of this assembly. We also carried out heterozygote phasing and haplotype prediction against HapMap CHB and JPT haplotypes (Chinese and Japanese, respectively), sequence comparison with the two available individual genomes (J. D. Watson and J. C. Venter), and structural variation identification. These variations were considered for their potential biological impact. Our sequence data and analyses demonstrate the potential usefulness of next-generation sequencing technologies for personal genomics.


Nature Biotechnology | 2012

Resequencing 50 accessions of cultivated and wild rice yields markers for identifying agronomically important genes.

Xun Xu; Xin Liu; Song Ge; Jeffrey D. Jensen; Fengyi Hu; Xin Li; Yang Dong; Ryan N. Gutenkunst; Lin Fang; Lei Huang; Jingxiang Li; Weiming He; Guojie Zhang; Xiao-Ming Zheng; Fu-Min Zhang; Yingrui Li; Chang Yu; Karsten Kristiansen; Xiuqing Zhang; Jian Wang; Mark G. Wright; Susan R. McCouch; Rasmus Nielsen; Jun Wang; Wen Wang

Rice is a staple crop that has undergone substantial phenotypic and physiological changes during domestication. Here we resequenced the genomes of 40 cultivated accessions selected from the major groups of rice and 10 accessions of their wild progenitors (Oryza rufipogon and Oryza nivara) to >15 × raw data coverage. We investigated genome-wide variation patterns in rice and obtained 6.5 million high-quality single nucleotide polymorphisms (SNPs) after excluding sites with missing data in any accession. Using these population SNP data, we identified thousands of genes with significantly lower diversity in cultivated but not wild rice, which represent candidate regions selected during domestication. Some of these variants are associated with important biological features, whereas others have yet to be functionally characterized. The molecular markers we have identified should be valuable for breeding and for identifying agronomically important genes in rice.


Cell | 2012

Single-Cell Exome Sequencing and Monoclonal Evolution of a JAK2-Negative Myeloproliferative Neoplasm

Yong Hou; Luting Song; Ping Zhu; Bo Zhang; Ye Tao; Xun Xu; Fuqiang Li; Kui Wu; Jie Liang; Di Shao; Hanjie Wu; Xiaofei Ye; Chen Ye; Renhua Wu; Min Jian; Yan Chen; Wei Xie; Ruren Zhang; Lei Chen; Xin Liu; Xiaotian Yao; Hancheng Zheng; Chang Yu; Qibin Li; Zhuolin Gong; Mao Mao; Xu Yang; Lin Yang; Jingxiang Li; Wen Wang

Tumor heterogeneity presents a challenge for inferring clonal evolution and driver gene identification. Here, we describe a method for analyzing the cancer genome at a single-cell nucleotide level. To perform our analyses, we first devised and validated a high-throughput whole-genome single-cell sequencing method using two lymphoblastoid cell line single cells. We then carried out whole-exome single-cell sequencing of 90 cells from a JAK2-negative myeloproliferative neoplasm patient. The sequencing data from 58 cells passed our quality control criteria, and these data indicated that this neoplasm represented a monoclonal evolution. We further identified essential thrombocythemia (ET)-related candidate mutations such as SESN2 and NTRK1, which may be involved in neoplasm progression. This pilot study allowed the initial characterization of the disease-related genetic architecture at the single-cell nucleotide level. Further, we established a single-cell sequencing method that opens the way for detailed analyses of a variety of tumor types, including those with high genetic complex between patients.


PLOS Biology | 2010

The DNA methylome of human peripheral blood mononuclear cells

Yingrui Li; Jingde Zhu; Geng Tian; Ning Li; Qibin Li; Mingzhi Ye; Hancheng Zheng; Jian-Xin Yu; Honglong Wu; Jihua Sun; Hongyu Zhang; Quan Chen; Ruibang Luo; Minfeng Chen; Yinghua He; Xin Jin; Qinghui Zhang; Chang Yu; Guangyu Zhou; Jinfeng Sun; Yebo Huang; Huisong Zheng; Hongzhi Cao; Xiaoyu Zhou; Shicheng Guo; Xueda Hu; Xin Li; Karsten Kristiansen; Lars Bolund; Jiujin Xu

Analysis across the genome of patterns of DNA methylation reveals a rich landscape of allele-specific epigenetic modification and consequent effects on allele-specific gene expression.


Nature Genetics | 2010

Resequencing of 200 human exomes identifies an excess of low-frequency non-synonymous coding variants

Yingrui Li; Nicolas Vinckenbosch; Geng Tian; Emilia Huerta-Sanchez; Tao Jiang; Hui Jiang; Anders Albrechtsen; Gitte Andersen; Hongzhi Cao; Thorfinn Sand Korneliussen; Niels Grarup; Yiran Guo; Ines Hellman; Xin Jin; Qibin Li; Jiangtao Liu; Xiao Liu; Thomas Sparsø; Meifang Tang; Honglong Wu; Renhua Wu; Chang Yu; Hancheng Zheng; Arne Astrup; Lars Bolund; Johan Holmkvist; Torben Jørgensen; Karsten Kristiansen; Ole Schmitz; Thue W. Schwartz

Targeted capture combined with massively parallel exome sequencing is a promising approach to identify genetic variants implicated in human traits. We report exome sequencing of 200 individuals from Denmark with targeted capture of 18,654 coding genes and sequence coverage of each individual exome at an average depth of 12-fold. On average, about 95% of the target regions were covered by at least one read. We identified 121,870 SNPs in the sample population, including 53,081 coding SNPs (cSNPs). Using a statistical method for SNP calling and an estimation of allelic frequencies based on our population data, we derived the allele frequency spectrum of cSNPs with a minor allele frequency greater than 0.02. We identified a 1.8-fold excess of deleterious, non-syonomyous cSNPs over synonymous cSNPs in the low-frequency range (minor allele frequencies between 2% and 5%). This excess was more pronounced for X-linked SNPs, suggesting that deleterious substitutions are primarily recessive.


Science | 2009

Complete Resequencing of 40 Genomes Reveals Domestication Events and Genes in Silkworm (Bombyx)

Qingyou Xia; Yiran Guo; Ze Zhang; Dong Li; Zhaoling Xuan; Zhuo Li; Fangyin Dai; Yingrui Li; Daojun Cheng; Ruiqiang Li; Tingcai Cheng; Tao Jiang; Celine Becquet; Xun Xu; Chun Liu; Xingfu Zha; Wei Fan; Ying Lin; Yihong Shen; Lan Jiang; Jeffrey D. Jensen; Ines Hellmann; Si Tang; Ping Zhao; Hanfu Xu; Chang Yu; Guojie Zhang; Jun Li; Jianjun Cao; Shiping Liu

The Taming of the Silkworm Silkworms, Bombyx mori, represent one of the few domesticated insects, having been domesticated over 10,000 years ago. Xia et al. (p. 433, published online 27 August) sequenced 29 domestic and 11 wild silkworm lines and identified genes that were most likely to be selected during domestication. These genes represent those that enhance silk production, reproduction, and growth. Furthermore, silkworms were probably only domesticated once from a large progenitor population, rather than on multiple occasions, as has been observed for other domesticated animals. Silkworm genomes show signatures of selection associated with domestication. A single–base pair resolution silkworm genetic variation map was constructed from 40 domesticated and wild silkworms, each sequenced to approximately threefold coverage, representing 99.88% of the genome. We identified ~16 million single-nucleotide polymorphisms, many indels, and structural variations. We find that the domesticated silkworms are clearly genetically differentiated from the wild ones, but they have maintained large levels of genetic variability, suggesting a short domestication event involving a large number of individuals. We also identified signals of selection at 354 candidate genes that may have been important during domestication, some of which have enriched expression in the silk gland, midgut, and testis. These data add to our understanding of the domestication processes and may have applications in devising pest control strategies and advancing the use of silkworms as efficient bioreactors.


Bioinformatics | 2012

SOAP3: ultra-fast GPU-based parallel alignment tool for short reads

Chi-Man Liu; Thomas K. F. Wong; Edward Wu; Ruibang Luo; Siu-Ming Yiu; Yingrui Li; Bingqiang Wang; Chang Yu; Xiaowen Chu; Kaiyong Zhao; Ruiqiang Li; Tak Wah Lam

SOAP3 is the first short read alignment tool that leverages the multi-processors in a graphic processing unit (GPU) to achieve a drastic improvement in speed. We adapted the compressed full-text index (BWT) used by SOAP2 in view of the advantages and disadvantages of GPU. When tested with millions of Illumina Hiseq 2000 length-100 bp reads, SOAP3 takes < 30 s to align a million read pairs onto the human reference genome and is at least 7.5 and 20 times faster than BWA and Bowtie, respectively. For aligning reads with up to four mismatches, SOAP3 aligns slightly more reads than BWA and Bowtie; this is because SOAP3, unlike BWA and Bowtie, is not heuristic-based and always reports all answers.

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Yingrui Li

Chinese Academy of Sciences

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Ruiqiang Li

Chinese Academy of Sciences

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Jun Wang

Chinese Academy of Sciences

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Ruibang Luo

University of Hong Kong

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Tak Wah Lam

University of Hong Kong

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Hancheng Zheng

Beijing Institute of Genomics

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Siu-Ming Yiu

University of Hong Kong

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Fan Zhang

Beijing Institute of Genomics

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Xun Xu

Beijing Institute of Genomics

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Chi-Man Liu

University of Hong Kong

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