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Volume 8 Supplement 2

Selected articles from the 4th Translational Bioinformatics Conference and the 8th International Conference on Systems Biology (TBC/ISB 2014)

Research

Edited by Ju Han Kim and Maricel Kann

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 have undergone the journal’s standard peer review process for supplements. The Supplement Editors declare that they have no competing interests.

The 4th Translational Bioinformatics Conference and the 8th International Conference on Systems Biology (TBC/ISB 2014). Go to conference site.

Qingdao, China24-27 October 2014

  1. Coronary artery disease (CAD), one of the leading causes of death globally, is influenced by both environmental and genetic risk factors. Gene-centric genome-wide association studies (GWAS) involving cases and...

    Authors: Mani P Grover, Sara Ballouz, Kaavya A Mohanasundaram, Richard A George, Andrzej Goscinski, Tamsyn M Crowley, Craig D H Sherman and Merridee A Wouters
    Citation: BMC Medical Genomics 2015 8(Suppl 2):S1
  2. Inferring drug-disease associations is critical in unveiling disease mechanisms, as well as discovering novel functions of available drugs, or drug repositioning. Previous work is primarily based on drug-gene-...

    Authors: Liang Yu, Jianbin Huang, Zhixin Ma, Jing Zhang, Yapeng Zou and Lin Gao
    Citation: BMC Medical Genomics 2015 8(Suppl 2):S2
  3. Cancer cell lines are used extensively to study cancer biology and to test hypotheses in translational research. The relevance of cell lines is dependent on how closely they resemble the tumors being studied. ...

    Authors: Bin Chen, Marina Sirota, Hua Fan-Minogue, Dexter Hadley and Atul J Butte
    Citation: BMC Medical Genomics 2015 8(Suppl 2):S5
  4. Therapy-related, secondary acute myeloid leukemia (t-AML) is an increasingly frequent complication of intensive chemotherapy. This malignancy is often characterized by abnormalities of chromosome 7, including ...

    Authors: Xinan (Holly) Yang, Bin Wang and John M Cunningham
    Citation: BMC Medical Genomics 2015 8(Suppl 2):S6
  5. Post-translational modification (PTM) plays a crucial role in biological functions and corresponding disease developments. Discovering disease-associated non-synonymous SNPs (nsSNPs) altering PTM sites can hel...

    Authors: Yul Kim, Chiyong Kang, Bumki Min and Gwan-Su Yi
    Citation: BMC Medical Genomics 2015 8(Suppl 2):S7
  6. The post-transcriptional sequence modification of transcripts through RNA editing is an important mechanism for regulating protein function and is associated with human disease phenotypes. The identification o...

    Authors: Soo Youn Lee, Je-Gun Joung, Chan Hee Park, Ji Hye Park and Ju Han Kim
    Citation: BMC Medical Genomics 2015 8(Suppl 2):S8
  7. RNA-sequencing is widely used to measure gene expression level at the whole genome level. Comparing expression data from control and case studies provides good insight on potential gene markers for phenotypes....

    Authors: Benjamin Hur, Heejoon Chae and Sun Kim
    Citation: BMC Medical Genomics 2015 8(Suppl 2):S10
  8. Uncovering the hidden organizational characteristics and regularities among biological sequences is the key issue for detailed understanding of an underlying biological phenomenon. Thus pattern recognition fro...

    Authors: Tushar Sandhan, Youngjun Yoo, Jin Young Choi and Sun Kim
    Citation: BMC Medical Genomics 2015 8(Suppl 2):S12
  9. RNA-Seq is a powerful new technology to comprehensively analyze the transcriptome of any given cells. An important task in RNA-Seq data analysis is quantifying the expression levels of all transcripts. Althoug...

    Authors: Yuchao Xia, Fugui Wang, Minping Qian, Zhaohui Qin and Minghua Deng
    Citation: BMC Medical Genomics 2015 8(Suppl 2):S14
  10. Enumeration of chemical compounds greatly assists designing and finding new drugs, and determining chemical structures from mass spectrometry. In our previous study, we developed efficient algorithms, BfsSimEnum ...

    Authors: Morihiro Hayashida, Jira Jindalertudomdee, Yang Zhao and Tatsuya Akutsu
    Citation: BMC Medical Genomics 2015 8(Suppl 2):S15

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