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BMC Bioinformatics

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Volume 16 Supplement 5

Selected articles from the 10th International Symposium on Bioinformatics Research and Applications (ISBRA-14): Bioinformatics

Proceedings

Edited by Min Li, Jianxin Wang and Fangxiang Wu

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 been through the journal's standard peer review process. The Supplement Editors declare that they have no competing interests.

10th International Symposium on Bioinformatics Research and Applications (ISBRA-14).

Zhangjiajie, China28-30 June 2014

Image from Sun et al., BMC Bioinformatics 2015, 16(Suppl 5):S1.

Related articles have been published in a supplement to BMC Genomics.


  1. Content type: Proceedings

    With the rapid development of high-throughput technologies, researchers can sequence the whole metagenome of a microbial community sampled directly from the environment. The assignment of these metagenomic rea...

    Authors: Ruichang Zhang, Zhanzhan Cheng, Jihong Guan and Shuigeng Zhou

    Citation: BMC Bioinformatics 2015 16(Suppl 5):S2

    Published on:

  2. Content type: Proceedings

    Large-scale cancer genomic projects are providing lots of data on genomic, epigenomic and gene expression aberrations in many cancer types. One key challenge is to detect functional driver pathways and to filt...

    Authors: Hao Wu, Lin Gao, Feng Li, Fei Song, Xiaofei Yang and Nikola Kasabov

    Citation: BMC Bioinformatics 2015 16(Suppl 5):S3

    Published on:

  3. Content type: Proceedings

    Progressive sequence alignment is one of the most commonly used method for multiple sequence alignment. Roughly speaking, the method first builds a guide tree, and then aligns the sequences progressively accor...

    Authors: Qing Zhan, Yongtao Ye, Tak-Wah Lam, Siu-Ming Yiu, Yadong Wang and Hing-Fung Ting

    Citation: BMC Bioinformatics 2015 16(Suppl 5):S4

    Published on:

  4. Content type: Proceedings

    Systems approaches to studying drug-side-effect (drug-SE) associations are emerging as an active research area for both drug target discovery and drug repositioning. However, a comprehensive drug-SE associatio...

    Authors: Rong Xu and QuanQiu Wang

    Citation: BMC Bioinformatics 2015 16(Suppl 5):S6

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  5. Content type: Proceedings

    We consider the emerging problem of comparing the similarity between (unlabeled) pedigrees. More specifically, we focus on the simplest pedigrees, namely, the 2-generation pedigrees. We show that the isomorphi...

    Authors: Haitao Jiang, Guohui Lin, Weitian Tong, Daming Zhu and Binhai Zhu

    Citation: BMC Bioinformatics 2015 16(Suppl 5):S7

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  6. Content type: Proceedings

    Based on the next generation genome sequencing technologies, a variety of biological applications are developed, while alignment is the first step once the sequencing reads are obtained. In recent years, many ...

    Authors: Xiaoqing Peng, Jianxin Wang, Zhen Zhang, Qianghua Xiao, Min Li and Yi Pan

    Citation: BMC Bioinformatics 2015 16(Suppl 5):S8

    Published on:

  7. Content type: Proceedings

    Identifying segments in the genome of different individuals that are identical-by-descent (IBD) is a fundamental element of genetics. IBD data is used for numerous applications including demographic inference,...

    Authors: Danny S Park, Yael Baran, Farhad Hormozdiari, Celeste Eng, Dara G Torgerson, Esteban G Burchard and Noah Zaitlen

    Citation: BMC Bioinformatics 2015 16(Suppl 5):S9

    Published on:

  8. Content type: Proceedings

    Epigenetic alterations are known to correlate with changes in gene expression among various diseases including cancers. However, quantitative models that accurately predict the up or down regulation of gene ex...

    Authors: Jeffery Li, Travers Ching, Sijia Huang and Lana X Garmire

    Citation: BMC Bioinformatics 2015 16(Suppl 5):S10

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  9. Content type: Proceedings

    Metabolomics is the study of small molecules, called metabolites, of a cell, tissue or organism. It is of particular interest as endogenous metabolites represent the phenotype resulting from gene expression. A...

    Authors: Mai A Hamdalla, Reda A Ammar and Sanguthevar Rajasekaran

    Citation: BMC Bioinformatics 2015 16(Suppl 5):S11

    Published on:

2016 Journal Metrics

  • Citation Impact
    2.448 - 2-year Impact Factor
    3.450 - 5-year Impact Factor
    0.946 - Source Normalized Impact per Paper (SNIP)
    1.467 - SCImago Journal Rank (SJR)

    Usage 
    3784657 downloads
    1405 Usage Factor


    Social Media Impact
    816 mentions

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