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Volume 16 Supplement 7

Selected articles from the International Conference on Intelligent Biology and Medicine (ICIBM) 2014: Genomics


Edited by Jianhua Ruan, Zhongming Zhao, Victor X. Jin, Yufei Huang, Hua Xu, Jeremy Edwards and Yidong Chen

Publication of this supplement has not been supported by sponsorship. Information about the source of funding for publication charges can be found in the individual articles. Articles ahve undergone the journal's standard peer review process for supplements. The Supplement Editors declare that they have no competing interests.

The International Conference on Intelligent Biology and Medicine (ICIBM) 2014. Go to conference site.

San Antonio, TX, USA4-6 December 2014

Further articles from the International Conference on Intelligent Biology and Medicine (ICIBM) 2014 were published in a supplement to BMC Systems Biology.

  1. Here we present a summary of the 2014 International Conference on Intelligent Biology and Medicine (ICIBM 2014) and the editorial report of the supplement to BMC Genomics and BMC Systems Biology that includes ...

    Authors: Jianhua Ruan, Victor Jin, Yufei Huang, Hua Xu, Jeremy S Edwards, Yidong Chen and Zhongming Zhao
    Citation: BMC Genomics 2015 16(Suppl 7):S1
  2. The lack of consensus among reported gene signature subsets (GSSs) in multi-gene biomarker discovery studies is often a concern for researchers and clinicians. Subsequently, it discourages larger scale prospec...

    Authors: Ghim Siong Ow and Vladimir A Kuznetsov
    Citation: BMC Genomics 2015 16(Suppl 7):S2
  3. Prostate cancer (PCa) is a leading cause of cancer-related death of men worldwide. There is an urgent need to develop novel biomarkers for PCa prognosis and diagnosis in the post prostate specific antigen era....

    Authors: Weirong Cui, Yulan Qian, Xiaoke Zhou, Yuxin Lin, Junfeng Jiang, Jiajia Chen, Zhongming Zhao and Bairong Shen
    Citation: BMC Genomics 2015 16(Suppl 7):S3
  4. Dietary intakes of red meat and fat are established risk factors for both colorectal cancer (CRC) and cardiovascular disease (CVDs). Recent studies have shown a mechanistic link between TMAO, an intestinal mic...

    Authors: Rong Xu, QuanQiu Wang and Li Li
    Citation: BMC Genomics 2015 16(Suppl 7):S4
  5. Personalized genomics instability, e.g., somatic mutations, is believed to contribute to the heterogeneous drug responses in patient cohorts. However, it is difficult to discover personalized driver mutations ...

    Authors: Lin Wang, Fuhai Li, Jianting Sheng and Stephen TC Wong
    Citation: BMC Genomics 2015 16(Suppl 7):S6
  6. Cancers are complex diseases with heterogeneous genetic causes and clinical outcomes. It is critical to classify patients into subtypes and associate the subtypes with clinical outcomes for better prognosis an...

    Authors: Xue Zhong, Hushan Yang, Shuyang Zhao, Yu Shyr and Bingshan Li
    Citation: BMC Genomics 2015 16(Suppl 7):S7
  7. Defective tumor suppressor genes (TSGs) and hyperactive oncogenes (OCGs) heavily contribute to cell proliferation and apoptosis during cancer development through genetic variations such as somatic mutations an...

    Authors: Kevin Zhu, Qi Liu, Yubo Zhou, Cui Tao, Zhongming Zhao, Jingchun Sun and Hua Xu
    Citation: BMC Genomics 2015 16(Suppl 7):S8
  8. Identification of protein interaction network is a very important step for understanding the molecular mechanisms in cancer. Several methods have been developed to integrate protein-protein interaction (PPI) d...

    Authors: Xu Shi, Xiao Wang, Ayesha Shajahan, Leena Hilakivi-Clarke, Robert Clarke and Jianhua Xuan
    Citation: BMC Genomics 2015 16(Suppl 7):S10
  9. Regulatory regions (e.g. promoters and enhancers) play an essential role in human development and disease. Many computational approaches have been developed to predict the regulatory regions using various geno...

    Authors: Woochang Hwang, Verity F Oliver, Shannath L Merbs, Heng Zhu and Jiang Qian
    Citation: BMC Genomics 2015 16(Suppl 7):S11
  10. High-throughput in vivo protein-DNA interaction experiments are currently widely used in gene regulation studies. Hitherto, comprehensive data analysis remains a challenge and for that reason most computational m...

    Authors: Junbai Wang, Agnieszka Malecka, Gunhild Trøen and Jan Delabie
    Citation: BMC Genomics 2015 16(Suppl 7):S12
  11. Motifs are regulatory elements that will activate or inhibit the expression of related genes when proteins (such as transcription factors, TFs) bind to them. Therefore, motif finding is important to understand...

    Authors: Yizhe Zhang, Yupeng He, Guangyong Zheng and Chaochun Wei
    Citation: BMC Genomics 2015 16(Suppl 7):S13
  12. RNA sequencing (RNA-seq) is a powerful tool for genome-wide expression profiling of biological samples with the advantage of high-throughput and high resolution. There are many existing algorithms nowadays for...

    Authors: Hung-I Harry Chen, Yuanhang Liu, Yi Zou, Zhao Lai, Devanand Sarkar, Yufei Huang and Yidong Chen
    Citation: BMC Genomics 2015 16(Suppl 7):S14
  13. Astragalus membranaceus Bge. var. mongolicus (Bge.) Hsiao (A. mongolicus, family Leguminosae) is one of the most important traditional Chinese herbs. Among many secondary metabolites it produces, the effective bi...

    Authors: Jing Chen, Xue-Ting Wu, Yi-Qin Xu, Yang Zhong, Yi-Xue Li, Jia-Kuan Chen, Xuan Li and Peng Nan
    Citation: BMC Genomics 2015 16(Suppl 7):S15
  14. One major challenge in personalized medicine research is to identify the environmental factors that can alter drug response, and to investigate their molecular mechanisms. These environmental factors include c...

    Authors: Santosh Philips, Jing Zhou, Zhigao Li, Todd C Skaar and Lang Li
    Citation: BMC Genomics 2015 16(Suppl 7):S17
  15. Gene regulation is dynamic across cellular conditions and disease subtypes. From the aspect of regulation under modulation, regulation strength between a pair of genes can be modulated by (dependent on) expres...

    Authors: Yu-Chiao Chiu, Chin-Ting Wu, Tzu-Hung Hsiao, Yi-Pin Lai, Chuhsing Kate Hsiao, Yidong Chen and Eric Y Chuang
    Citation: BMC Genomics 2015 16(Suppl 7):S19

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