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Computational Network Biology

Computational Network Biology is currently a hot research field and of high interest to many researchers. Also, the field of computational network biology presents huge applications in designing new technologies for synthetic biology, personalized medicine, systems physiology and pharmacology. The aim of this special issue is to present the recent advances and existing state-of-the-art techniques, algorithms and applications in the broad area of Computational Network Biology.

Edited by: Tamer Kahveci and Dongxiao Zhu

  1. Content type: Research

    Study of signaling networks is important for a better understanding of cell behaviors e.g., growth, differentiation, metabolism, proptosis, and gaining deeper insights into the molecular mechanisms of complex ...

    Authors: Lipi Acharya, Robert Reynolds and Dongxiao Zhu

    Citation: EURASIP Journal on Bioinformatics and Systems Biology 2015 2015:12

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  2. Content type: Research

    Network-based analyses are commonly used as powerful tools to interpret the findings of genome-wide association studies (GWAS) in a functional context. In particular, identification of disease-associated funct...

    Authors: Marzieh Ayati, Sinan Erten, Mark R. Chance and Mehmet Koyutürk

    Citation: EURASIP Journal on Bioinformatics and Systems Biology 2015 2015:7

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  3. Content type: Research

    Soybean (Glycine max) is a major source of vegetable oil and protein for both animal and human consumption. The completion of soybean genome sequence led to a number of transcriptomic studies (RNA-seq), which pro...

    Authors: Jie Hou, Gary Stacey and Jianlin Cheng

    Citation: EURASIP Journal on Bioinformatics and Systems Biology 2015 2015:5

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  4. Content type: Review

    Recent findings have elucidated that the regulation of messenger RNA (mRNA) levels is due to the synergistic and antagonist actions of transcription factors (TFs) and microRNAs (miRNAs). Mutual interactions am...

    Authors: Pietro H Guzzi, Maria Teresa Di Martino, Pierosandro Tagliaferri, Pierfrancesco Tassone and Mario Cannataro

    Citation: EURASIP Journal on Bioinformatics and Systems Biology 2015 2015:4

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  5. Content type: Review

    Biological network alignment aims to find regions of topological and functional (dis)similarities between molecular networks of different species. Then, network alignment can guide the transfer of biological k...

    Authors: Fazle E Faisal, Lei Meng, Joseph Crawford and Tijana Milenković

    Citation: EURASIP Journal on Bioinformatics and Systems Biology 2015 2015:3

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