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Dive into the research topics where Baochen Shi is active.

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Featured researches published by Baochen Shi.


Nucleic Acids Research | 2006

NPInter: the noncoding RNAs and protein related biomacromolecules interaction database

Tao Wu; Jie Wang; Changning Liu; Yong Zhang; Baochen Shi; Xiaopeng Zhu; Zhihua Zhang; Geir Skogerbø; Lan Chen; Hongchao Lu; Yi Zhao; Runsheng Chen

The noncoding RNAs and protein related biomacromolecules interaction database (NPInter; or ) is a database that documents experimentally determined functional interactions between noncoding RNAs (ncRNAs) and protein related biomacromolecules (PRMs) (proteins, mRNAs or genomic DNAs). NPInter intends to provide the scientific community with a comprehensive and integrated tool for efficient browsing and extraction of information on interactions between ncRNAs and PRMs. Beyond cataloguing details of these interactions, the NPInter will be useful for understanding ncRNA function, as it adds a very important functional element, ncRNAs, to the biomolecule interaction network and sets up a bridge between the coding and the noncoding kingdoms.


Journal of Human Genetics | 2004

Evolution and migration history of the Chinese population inferred from Chinese Y-chromosome evidence.

Wei Deng; Baochen Shi; Xiaoli He; Zhihua Zhang; Jun Xu; Biao Li; Jian Yang; Lunjiang Ling; Chengping Dai; Boqin Qiang; Yan Shen; Runsheng Chen

AbstractY-chromosomes from 76 Chinese men covering 33 ethnical minorities throughout China as well as the Han majority were collected as genetic material for the study of Chinese nonrecombinant Y-chromosome (NRY) phylogeny. Of the accepted worldwide NRY haplogroups, three (haplogroups D, C, O) were significant in this sample, extending previous assessments of Chinese genetic diversity. Based on geographic, linguistic, and ethnohistorical information, the 33 Chinese ethnical minorities in our survey were divided into the following four subgroups: North, Tibet, West, and South. Inferred from the distribution of the newfound immediate ancestor lineage haplogroup O*, which has M214 but not M175, we argue that the southern origin scenario of this most common Chinese Y haplogroup is not very likely. We tentatively propose a West/North-origin hypothesis, suggesting that haplogroup O originated in West/North China and mainly evolved in China and thence spread further throughout eastern Eurasia. The nested cladistic analysis revealed in detail a multilayered, multidirectional, and continuous history of ethnic admixture that has shaped the contemporary Chinese population. Our results give some new clues to the evolution and migration of the Chinese population and its subsequence moving about in this land, which are in accordance with the historical records.


Bioinformatics | 2004

Conservation analysis of small RNA genes in Escherichia coli

Yong Zhang; Zhihua Zhang; Lunjiang Ling; Baochen Shi; Runsheng Chen

MOTIVATION Small RNA (sRNA) genes in Escherichia coli have been in focus recently, as 44 out of 55 experimentally confirmed sRNA genes have been precisely located in the genome. The object of this study is to analyze quantitatively the conservation of these sRNA genes and compare it with the conservation of protein-encoding genes, function-unknown regions and tRNA genes. RESULTS The results show that within an evolutionary distance of 0.26, both sRNA genes and protein-encoding genes display a similar tendency in their degrees of conservation at the nucleotide level. In addition, the conservation of sRNA genes is much stronger than function-unknown regions, but much weaker than tRNA genes. Based on the conservation of studied sRNA genes, we also give clues to estimate the total number of sRNA genes in E.coli. SUPPLEMENTARY INFORMATION Supplementary information is available at http://www.bioinfo.org.cn/SM/sRNAconservation.htm


PLOS Computational Biology | 2006

Dynamic Changes in Subgraph Preference Profiles of Crucial Transcription Factors

Zhihua Zhang; Changning Liu; Geir Skogerbø; Xiaopeng Zhu; Hongchao Lu; Lan Chen; Baochen Shi; Yong Zhang; Jie Wang; Tao Wu; Runsheng Chen

Transcription factors with a large number of target genes—transcription hub(s), or THub(s)—are usually crucial components of the regulatory system of a cell, and the different patterns through which they transfer the transcriptional signal to downstream cascades are of great interest. By profiling normalized abundances (AN) of basic regulatory patterns of individual THubs in the yeast Saccharomyces cerevisiae transcriptional regulation network under five different cellular states and environmental conditions, we have investigated their preferences for different basic regulatory patterns. Subgraph-normalized abundances downstream of individual THubs often differ significantly from that of the network as a whole, and conversely, certain over-represented subgraphs are not preferred by any THub. The THub preferences changed substantially when the cellular or environmental conditions changed. This switching of regulatory pattern preferences suggests that a change in conditions does not only elicit a change in response by the regulatory network, but also a change in the mechanisms by which the response is mediated. The THub subgraph preference profile thus provides a novel tool for description of the structure and organization between the large-scale exponents and local regulatory patterns.


BMC Genomics | 2009

Genome-scale identification of Caenorhabditis elegans regulatory elements by tiling-array mapping of DNase I hypersensitive sites

Baochen Shi; Xiangqian Guo; Tao Wu; Sitong Sheng; Jie Wang; Geir Skogerbø; Xiaopeng Zhu; Runsheng Chen

BackgroundA major goal of post-genomics research is the integrated analysis of genes, regulatory elements and the chromatin architecture on a genome-wide scale. Mapping DNase I hypersensitive sites within the nuclear chromatin is a powerful and well-established method of identifying regulatory element candidates.ResultsHere, we report the first genome-wide analysis of DNase I hypersensitive sites (DHSs) in Caenorhabditis elegans. The data was obtained by hybridizing DNase I-treated and end-captured material from young adult worms to a high-resolution tiling microarray. The data show that C. elegans DHSs were significantly enriched within intergenic regions located 2 kb upstream and downstream of coding genes, and also that a considerable fraction of all DHSs mapped to intergenic positions distant to annotated coding genes. Annotated transcribed loci were generally depleted in DHSs relative to intergenic regions, but DHSs were nonetheless enriched in coding exons and UTRs, whereas introns were significantly depleted in DHSs. Many DHSs appeared to be associated with annotated non-coding RNAs and recently detected transcripts of unknown function. It has been reported that nematode highly conserved non-coding elements were associated with cis-regulatory elements, and we also found that DHSs, particularly distal intergenic DHSs, were significantly enriched in regions that were conserved between the C. elegans and C. briggsae genomes.ConclusionWe describe the first genome-wide analysis of C. elegans DHSs, and show that the distribution of DHSs is strongly associated with functional elements in the genome.


Chinese Science Bulletin | 2004

Detecting chimeric 5′/3′UTRs with cross-chromosomal splicing by bioinformatics

Zhihua Zhang; Yong Zhang; Baochen Shi; Wei Deng; Yi Zhao; Runsheng Chen

The 5′/3′ UTRs of mRNA are crucial in translational regulation, and several serious diseases are believed to be associated with abnormal splicing of these parts of the mRNA sequence. In this work a novel method which uses sequence alignment database searching for detecting chimeric 5′3′ UTRs with cross-chromosomal splicing is reported. Eight highly credible instances of cross-chromosomal splicing have been found using this method, representing additional confirmation of the existence of cross-chromosomal splicing events provided by bioinformatics tools. Since no conserved motif has been found in any of the eight instances, and at the same time current prediction algorithms produce only trivial secondary structures at the “splicing sites”, it is not possible to identify any specific signal leading to the splicing.


Genome Research | 2007

Mapping the C. elegans noncoding transcriptome with a whole-genome tiling microarray

Housheng He; Jie Wang; Tao Liu; X. Shirley Liu; Tiantian Li; Yunfei Wang; Zuwei Qian; Haixia Zheng; Xiaopeng Zhu; Tao Wu; Baochen Shi; Wei Deng; Wei Zhou; Geir Skogerbø; Runsheng Chen


BMC Bioinformatics | 2006

Phylophenetic properties of metabolic pathway topologies as revealed by global analysis

Yong Zhang; Shaojuan Li; Geir Skogerbø; Zhihua Zhang; Xiaopeng Zhu; Zefeng Zhang; Shiwei Sun; Hongchao Lu; Baochen Shi; Runsheng Chen


Biochemical and Biophysical Research Communications | 2006

Integrated analysis of multiple data sources reveals modular structure of biological networks

Hongchao Lu; Baochen Shi; Gaowei Wu; Yong Zhang; Xiaopeng Zhu; Zhihua Zhang; Changning Liu; Yi Zhao; Tao Wu; Jie Wang; Runsheng Chen


Biochemical and Biophysical Research Communications | 2006

Identifying Hfq-binding small RNA targets in Escherichia coli

Yong Zhang; Shiwei Sun; Tao Wu; Jie Wang; Changning Liu; Lan Chen; Xiaopeng Zhu; Yi Zhao; Zhihua Zhang; Baochen Shi; Hongchao Lu; Runsheng Chen

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Runsheng Chen

Chinese Academy of Sciences

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Zhihua Zhang

Beijing Institute of Genomics

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Yong Zhang

Chinese Academy of Sciences

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Xiaopeng Zhu

Chinese Academy of Sciences

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Hongchao Lu

Chinese Academy of Sciences

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Geir Skogerbø

Chinese Academy of Sciences

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Jie Wang

Chinese Academy of Sciences

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Yi Zhao

Chinese Academy of Sciences

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Changning Liu

Chinese Academy of Sciences

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