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Volume 8 Supplement 4

Thirteenth International Conference on Bioinformatics (InCoB2014): Systems Biology


Edited by Shoba Ranganathan, Christian Schönbach and Tin Wee Tan

This collection of articles has not been sponsored. Information about the source of funding for publication charges can be found in the individual articles. Articles are based on presentations made at the Asia Pacific Bioinformatics Network (APBioNet) Thirteenth International Conference on Bioinformatics (InCob2014). The peer review process was overseen by the Supplement Editors in accordance with BioMed Central's peer review guidelines for supplements. The Supplement Editors declare that they have no competing interests.

Asia Pacific Bioinformatics Network (APBioNet) Thirteenth International Conference on Bioinformatics (InCoB2014). Go to conference site.

Sydney, Australia31 July - 2 August 2014

Related articles have been published in supplements to BMC Bioinformatics, BMC Genomics and BMC Medical Genomics.

  1. Content type: Introduction

    Selected papers from the 13th International Conference on Bioinformatics (InCoB2014), July 31-2 August, 2014 in Sydney, Australia have been compiled in this supplement. These range from network analysis and ge...

    Authors: Shoba Ranganathan, Tin Wee Tan and Christian Schönbach

    Citation: BMC Systems Biology 2014 8(Suppl 4):I1

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  2. Content type: Research

    Differential expression analysis of (individual) genes is often used to study their roles in diseases. However, diseases such as cancer are a result of the combined effect of multiple genes. Gene products such...

    Authors: Sriganesh Srihari, Piyush B Madhamshettiwar, Sarah Song, Chao Liu, Peter T Simpson, Kum Kum Khanna and Mark A Ragan

    Citation: BMC Systems Biology 2014 8(Suppl 4):S1

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  3. Content type: Research

    In order to understand and regulate complex genetic networks in living cells, it is important to build simple and well-defined genetic circuits. We designed such circuits using a synthetic biology approach tha...

    Authors: Takefumi Moriya, Masayuki Yamamura and Daisuke Kiga

    Citation: BMC Systems Biology 2014 8(Suppl 4):S4

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  4. Content type: Research

    Classical approaches to predicting patient clinical outcome via gene expression information are primarily based on differential expression of unrelated genes (single-gene approaches) or genes related by, for e...

    Authors: Rebecca L Barter, Sarah-Jane Schramm, Graham J Mann and Yee Hwa Yang

    Citation: BMC Systems Biology 2014 8(Suppl 4):S5

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  5. Content type: Research

    Gene regulatory network (GRN) is a fundamental topic in systems biology. The dynamics of GRN can shed light on the cellular processes, which facilitates the understanding of the mechanisms of diseases when the...

    Authors: Haifen Chen, Piyushkumar A Mundra, Li Na Zhao, Feng Lin and Jie Zheng

    Citation: BMC Systems Biology 2014 8(Suppl 4):S6

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  6. Content type: Research

    The human habitat is a host where microbial species evolve, function, and continue to evolve. Elucidating how microbial communities respond to human habitats is a fundamental and critical task, as establishing...

    Authors: Peng Yang, Xiaoquan Su, Le Ou-Yang, Hon-Nian Chua, Xiao-Li Li and Kang Ning

    Citation: BMC Systems Biology 2014 8(Suppl 4):S7

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  7. Content type: Research

    Cis-regulatory modules (CRMs), or the DNA sequences required for regulating gene expression, play the central role in biological researches on transcriptional regulation in metazoan species. Nowadays, the systema...

    Authors: Tzu-Hsien Yang, Chung-Ching Wang, Po-Cheng Hung and Wei-Sheng Wu

    Citation: BMC Systems Biology 2014 8(Suppl 4):S8

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  8. Content type: Research

    Eukaryotic transcriptional regulation is known to be highly connected through the networks of cooperative transcription factors (TFs). Measuring the cooperativity of TFs is helpful for understanding the biolog...

    Authors: Fu-Jou Lai, Hong-Tsun Chang, Yueh-Min Huang and Wei-Sheng Wu

    Citation: BMC Systems Biology 2014 8(Suppl 4):S9

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  9. Content type: Research

    Protein-DNA interactions play important roles in many biological processes. Computational methods that can accurately predict DNA-binding sites on proteins will greatly expedite research on problems involving ...

    Authors: Changhui Yan and Yingfeng Wang

    Citation: BMC Systems Biology 2014 8(Suppl 4):S10

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  10. Content type: Research

    Network is a useful way for presenting many types of biological data including protein-protein interactions, gene regulations, cellular pathways, and signal transductions. We can measure nodes by their network...

    Authors: Chia-Hao Chin, Shu-Hwa Chen, Hsin-Hung Wu, Chin-Wen Ho, Ming-Tat Ko and Chung-Yen Lin

    Citation: BMC Systems Biology 2014 8(Suppl 4):S11

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2017 Journal Metrics

  • Citation Impact
    2.05 - 2-year Impact Factor
    2.505 - 5-year Impact Factor
    0.689 - Source Normalized Impact per Paper (SNIP)
    1.109 - SCImago Journal Rank (SJR)


    Social Media Impact
    523 mentions