Science China Life Sciences

, Volume 57, Issue 11, pp 1051–1053 | Cite as

Systems biology and metagenomics: a showcase of Chinese bioinformatics researchers and their work

Open Access


  1. 1.
    Chen B, Li M, Wang J, Wu F. Disease gene identification by using graph kernels and Markov random fields. Sci China Life Sci, 2014, 57: 1054–1063PubMedCrossRefGoogle Scholar
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    Li M, Li Q, Ganegoda G, Wang J, Wu F, Pan Y. Prioritization of orphan disease-causing genes using topological feature and GO similarity between proteins in interaction networks. Sci China Life Sci, 2014, 57: 1064–1071PubMedCrossRefGoogle Scholar
  3. 3.
    Hou L, Ma T, Zhao H. Incorporating functional annotation information in prioritizing disease associated SNPs from genome wide association studies. Sci China Life Sci, 2014, 57: 1072–1079PubMedCrossRefGoogle Scholar
  4. 4.
    Zhang Y, Cheng Y, Jia K, Zhang A. A generative model of identifying informative proteins from dynamic PPI networks. Sci China Life Sci, 2014, 57: 1080–1089PubMedCrossRefGoogle Scholar
  5. 5.
    Yu H, Mitra B, Yang J, LI Y, Zhao Z. Algorithms for network-based identification of differential regulators from transcriptome data: a systematic evaluation. Sci China Life Sci, 2014, 57: 1090–1102PubMedCrossRefGoogle Scholar
  6. 6.
    Zeng T, Zhang W, Yu X, Liu X, Li M, Liu R, Chen L. Edge biomarkers for classification and prediction of phenotypes. Sci China Life Sci, 2014, 57: 1103–1114PubMedCrossRefGoogle Scholar
  7. 7.
    Jiang X, Hu X. Inferring microbial interaction networks based on consensus similarity network fusion. Sci China Life Sci, 2014, 57: 1115–1120PubMedCrossRefGoogle Scholar
  8. 8.
    Ma Q, Chen X, Liu C, Mao X, Zhang H, Ji F, Wu C, Xu Y. Understanding the commonalities and differences in genomic organizations across closely related bacteria from an energy perspective. Sci China Life Sci, 2014, 57: 1121–1130PubMedCrossRefGoogle Scholar
  9. 9.
    Yu D, Zhang C, Qin P, Cornish P, Xu D. RNA-protein distance patterns in ribosomes reveal the mechanism of translational attenuation. Sci China Life Sci, 2014, 57: 1131–1139PubMedCrossRefGoogle Scholar
  10. 10.
    Chin F, Leung H, Yiu S. Sequence assembly using next generation sequencing data—challenges and solutions. Sci China Life Sci, 2014, 57: 1140–1148PubMedCrossRefGoogle Scholar

Copyright information

© The Author(s) 2014

Authors and Affiliations

  1. 1.Department of Computer ScienceWayne State UniversityDetroitUSA
  2. 2.Department of Bioinformatics and Biostatistics, Rollins School of Public HealthEmory UniversityAtlantaUSA

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