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Medical bioinformatics

Section edited by Michele Ceccarelli

The explosion of genome sequencing data along with genotype to phenotype correlation studies has created data deluge in the area of biomedical sciences. The aim of the Medical bioinformatics section is to aid the development and maturation of the field by providing a platform for the translation of these datasets into useful clinical applications. The increase in computing capabilities and availability of different data from advanced technologies will allow researchers to build System Biology models of various diseases in order to efficiently develop new therapeutic interventions and reduce the current prohibitively large costs of drug discovery.

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  1. While in the past decades nucleic acid analysis has been predominantly carried out using quantitative low- and high-throughput approaches such as qRT-PCR and microarray technology, next-generation sequencing (...

    Authors: Christina Backes, Jan Haas, Petra Leidinger, Karen Frese, Thomas Großmann, Klemens Ruprecht, Benjamin Meder, Eckart Meese and Andreas Keller
    Citation: Journal of Translational Medicine 2015 13:224
  2. The effectiveness of current therapeutic regimens for Mycobacterium tuberculosis (Mtb) is diminished by the need for prolonged therapy and the rise of drug resistant/tolerant strains. This global health threat, d...

    Authors: Rohit Vashisht, Ashwini G Bhat, Shreeram Kushwaha, Anshu Bhardwaj, OSDD Consortium and Samir K Brahmachari
    Citation: Journal of Translational Medicine 2014 12:263
  3. Drug-induced gene expression dataset (for example Connectivity Map, CMap) represent a valuable resource for drug-repurposing, a class of methods for identifying novel indications for approved drugs. Recently, ...

    Authors: Ling Jin, Jian Tu, Jianwei Jia, Wenbin An, Huanran Tan, Qinghua Cui and Zhixin Li
    Citation: Journal of Translational Medicine 2014 12:153
  4. MicroRNAs (miRNAs) are a class of non-coding regulatory RNAs approximately 22 nucleotides in length that play a role in a wide range of biological processes. Abnormal miRNA function has been implicated in vari...

    Authors: Wenyu Zhang, Jin Zang, Xinhua Jing, Zhandong Sun, Wenying Yan, Dongrong Yang, Feng Guo and Bairong Shen
    Citation: Journal of Translational Medicine 2014 12:66
  5. This is a report on the 4th international conference in ‘Quantitative Biology and Bioinformatics in Modern Medicine’ held in Belfast (UK), 19–20 September 2013. The aim of the conference was to bring together ...

    Authors: Frank Emmert-Streib, Shu-Dong Zhang and Peter Hamilton
    Citation: Journal of Translational Medicine 2014 12:26
  6. While the majority of studies have focused on the association between sex hormones and dementia, emerging evidence supports the role of other hormone signals in increasing dementia risk. However, due to the la...

    Authors: Erfan Younesi and Martin Hofmann-Apitius
    Citation: Journal of Translational Medicine 2013 11:177
  7. Clear cell renal cell carcinoma (ccRCC) represents the most invasive and common adult kidney neoplasm. Mounting evidence suggests that microRNAs (miRNAs) are important regulators of gene expression. But their ...

    Authors: Jiajia Chen, Daqing Zhang, Wenyu Zhang, Yifei Tang, Wenying Yan, Lingchuan Guo and Bairong Shen
    Citation: Journal of Translational Medicine 2013 11:169
  8. Sequencing of the human genome and the subsequent analyses have produced immense volumes of data. The technological advances have opened new windows into genomics beyond the DNA sequence. In parallel, clinical...

    Authors: Imad Abugessaisa, David Gomez-Cabrero, Omri Snir, Staffan Lindblad, Lars Klareskog, Vivianne Malmström and Jesper Tegnér
    Citation: Journal of Translational Medicine 2013 11:85
  9. Cell penetrating peptides have gained much recognition as a versatile transport vehicle for the intracellular delivery of wide range of cargoes (i.e. oligonucelotides, small molecules, proteins, etc.), that other...

    Authors: Ankur Gautam, Kumardeep Chaudhary, Rahul Kumar, Arun Sharma, Pallavi Kapoor, Atul Tyagi and Gajendra P S Raghava
    Citation: Journal of Translational Medicine 2013 11:74
  10. The disorders in metabolism of energy substances are usually related to some diseases, such as obesity, diabetes and cancer, etc. However, the genetic background for these disorders has not been well understood. ...

    Authors: Cheng Xue, Xiaoming Liu, Yun Gong, Yuhai Zhao and Yun-Xin Fu
    Citation: Journal of Translational Medicine 2013 11:67

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