Jun Li

Dr. Jun Li

orcid

Research Focus & Metrics

Academic Career Length

30Years (1997-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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23 November 2016 in Nature
Verified
Journal Article
Closed access
PDF file
MSMang Shi
Mang Shi
XLXian-Dan Lin
Xian-Dan Lin
JTJun-Hua Tian
Jun-Hua Tian
LCLiang-Jun Chen
Liang-Jun Chen
XCXiao Chen
Xiao Chen
YZYong-Zhen Zhang
Yong-Zhen Zhang

1 November 2009 in Nature Genetics
Verified
Journal Article
Closed access
PDF file
SHSanwen Huang
Sanwen Huang
RLRuiqiang Li
Ruiqiang Li
ZZZhonghua Zhang
Zhonghua Zhang
LLLi Li
Li Li
XGXingfang Gu
Xingfang Gu
SLSonggang Li
Songgang Li

1 December 2006 in Genomics, Proteomics & Bioinformatics
Verified
Journal Article
Open access
ZZZhang Zhang
Zhang Zhang
JLJun Li
Jun Li
XZXiao-Qian Zhao
Xiao-Qian Zhao
JWJun Wang
Jun Wang
GWGane Ka-Shu Wong
Gane Ka-Shu Wong
JYJun Yu
Jun Yu
KaKs_Calculator is a software package that calculates nonsynonymous (Ka) and synonymous (Ks) substitution rates through model selection and model averaging. Since existing methods for this estimation adopt their specific mutation (substitution) models that consider different evolutionary features, leading to diverse estimates, KaKs_Calculator implements a set of candidate models in a maximum likelihood framework and adopts the Akaike information criterion to measure fitness between models and data, aiming to include as many features as needed for accurately capturing evolutionary information in protein-coding sequences. In addition, several existing methods for calculating Ka and Ks are also incorporated into this software. KaKs_Calculator, including source codes, compiled executables, and documentation, is freely available for academic use at http://evolution.genomics.org.cn/software.htm.

13 December 2009 in Nature
Verified
Journal Article
Open access
PDF file
RLRuiqiang Li
Ruiqiang Li
WFWei Fan
Wei Fan
GTGeng Tian
Geng Tian
HZHongmei Zhu
Hongmei Zhu
LHLin He
Lin He
JWJun Wang
Jun Wang
Using next-generation sequencing technology alone, we have successfully generated and assembled a draft sequence of the giant panda genome. The assembled contigs (2.25 gigabases (Gb)) cover approximately 94% of the whole genome, and the remaining gaps (0.05 Gb) seem to contain carnivore-specific repeats and tandem repeats. Comparisons with the dog and human showed that the panda genome has a lower divergence rate. The assessment of panda genes potentially underlying some of its unique traits indicated that its bamboo diet might be more dependent on its gut microbiome than its own genetic composition. We also identified more than 2.7 million heterozygous single nucleotide polymorphisms in the diploid genome. Our data and analyses provide a foundation for promoting mammalian genetic research, and demonstrate the feasibility for using next-generation sequencing technologies for accurate, cost-effective and rapid de novo assembly of large eukaryotic genomes.

10 December 2004 in Science
Verified
Journal Article
Closed access
PDF file
BGBiology analysis group
Biology analysis group
QXQingyou Xia
Qingyou Xia
ZZZeyang Zhou
Zeyang Zhou
CLCheng Lu
Cheng Lu
DCDaojun Cheng
Daojun Cheng
HYHuanming Yang
Huanming Yang
We report a draft sequence for the genome of the domesticated silkworm ( Bombyx mori ), covering 90.9% of all known silkworm genes. Our estimated gene count is 18,510, which exceeds the 13,379 genes reported for Drosophila melanogaster . Comparative analyses to fruitfly, mosquito, spider, and butterfly reveal both similarities and differences in gene content.

1 February 2005 in PLOS Biology
Verified
Journal Article
Open access
PDF file
JYJun Yu
Jun Yu
JWJun Wang
Jun Wang
WLWei Lin
Wei Lin
SLSonggang Li
Songgang Li
HLHeng Li
Heng Li
HYHuanming Yang
Huanming Yang
We report improved whole-genome shotgun sequences for the genomes of indica and japonica rice, both with multimegabase contiguity, or almost 1,000-fold improvement over the drafts of 2002. Tested against a nonredundant collection of 19,079 full-length cDNAs, 97.7% of the genes are aligned, without fragmentation, to the mapped super-scaffolds of one or the other genome. We introduce a gene identification procedure for plants that does not rely on similarity to known genes to remove erroneous predictions resulting from transposable elements. Using the available EST data to adjust for residual errors in the predictions, the estimated gene count is at least 38,000–40,000. Only 2%–3% of the genes are unique to any one subspecies, comparable to the amount of sequence that might still be missing. Despite this lack of variation in gene content, there is enormous variation in the intergenic regions. At least a quarter of the two sequences could not be aligned, and where they could be aligned, single nucleotide polymorphism (SNP) rates varied from as little as 3.0 SNP/kb in the coding regions to 27.6 SNP/kb in the transposable elements. A more inclusive new approach for analyzing duplication history is introduced here. It reveals an ancient whole-genome duplication, a recent segmental duplication on Chromosomes 11 and 12, and massive ongoing individual gene duplications. We find 18 distinct pairs of duplicated segments that cover 65.7% of the genome; 17 of these pairs date back to a common time before the divergence of the grasses. More important, ongoing individual gene duplications provide a never-ending source of raw material for gene genesis and are major contributors to the differences between members of the grass family.