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2009-2013年度科技论文发表情况(节选)

发布时间:2018-06-10 14:07:10 浏览量:1321

1. Su J*, Yan H*, Wei Y, Liu H, Wang F, Lv J, Wu Q#, Zhang Y#. CpG_MPs: identification of CpG methylation patterns of genomic regions from high-throughput bisulfite sequencing data. Nucleic Acids Research 2013, 41(1):e4.

 

2. Lv J*, Liu H*, Huang Z*, Su J, He H, Xiu Y, Zhang Y#, Wu Q#. Long non-coding RNA identification over mouse brain development by integrative modeling of chromatin and genomic features. Nucleic Acids Research 2013, 41(22):10044-10061.

 

3. Lv J*, Liu H*, Su J*, Wu X, Li B, Xiao X, Wang F, Wu Q#, Zhang Y#. DiseaseMeth: a human disease methylation database. Nucleic Acids Research 2012, 40(Database issue):D1030-1035.

 

4. Su J*#, Shao X, Liu H, Liu S, Wu Q, Zhang Y#. Genome-wide dynamic changes of DNA methylation of repetitive elements in human embryonic stem cells and fetal fibroblasts. Genomics 2012, 99(1):10-171.

 

5. Su J*, Qi Y, Liu S, Wu X, Lv J, Liu H, Zhang R, Zhang Y#. Revealing epigenetic patterns in gene regulation through integrative analysis of epigenetic interaction network. Molecular Biology Reports 2012, 39(2):1701-1712.

 

6. Liu H*, Su J*, Li J, Liu H, Lv J, Li B, Qiao H#, Zhang Y#. Prioritizing cancer-related genes with aberrant methylation based on a weighted protein-protein interaction network. BMC Systems Biology 2011, 5:158.

 

7. Zhang Y*#, Liu H*, Lv J*, Xiao X, Zhu J, Liu X, Su J, Li X, Wu Q, Wang F, Cui Y. QDMR: a quantitative method for identification of differentially methylated regions by entropy. Nucleic Acids Research 2011, 39(9):e58.

 

8. Zhang Y*#, Lv J*, Liu H*, Zhu J, Su J, Wu Q, Qi Y, Wang F, Li X#. HHMD: the human histone modification database. Nucleic Acids Research 2010, 38(Database issue):D149-154.

 

9. Su J*, Zhang Y*#, Lv J*, Liu H, Tang X, Wang F, Qi Y, Feng Y, Li X#. CpG_MI: a novel approach for identifying functional CpG islands in mammalian genomes. Nucleic Acids Research 2010, 38(1):e6.

 

10. Sun J*, Gao B*, Zhou M*#, Wang ZZ, Zhang F, Deng JE, Li X#. Comparative genomic analysis reveals evolutionary characteristics and patterns of microRNA clusters in vertebrates. Gene 2013, 512:383-391.

 

11. Zhou M*, Wang Q, Sun J, Li X#, Xu L, Yang H, Shi H, Ning S, Chen L, Li Y, He T, Zheng Y. In silico detection and characteristics of novel microRNA genes in the Equus caballus genome using an integrated ab initio and comparative genomic approach. Genomics 2009, 94:125-131.

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