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Volume 9 Supplement 6

Symposium of Computations in Bioinformatics and Bioscience (SCBB07)

Research

Edited by Guoqing Lu, Jun Ni, Thomas L Casavant and Brian Athey

Symposium of Computations in Bioinformatics and Bioscience (SCBB07). Go to conference site.

Iowa City, Iowa, USA13-15 August 2007

  1. The Second Symposium on Computations in Bioinformatics and Bioscience (SCBB07) was held in Iowa City, Iowa, USA, on August 13–15, 2007. This annual event attracted dozens of bioinformatics professionals and st...

    Authors: Guoqing Lu and Jun Ni

    Citation: BMC Bioinformatics 2008 9(Suppl 6):S1

    Content type: Introduction

    Published on:

  3. DNA-binding proteins are of utmost importance to gene regulation. The identification of DNA-binding domains is useful for understanding the regulation mechanisms of DNA-binding proteins. In this study, we prop...

    Authors: Yao-Lin Chang, Huai-Kuang Tsai, Cheng-Yan Kao, Yung-Chian Chen, Yuh-Jyh Hu and Jinn-Moon Yang

    Citation: BMC Bioinformatics 2008 9(Suppl 6):S3

    Content type: Research

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  4. Inference of evolutionary trees using the maximum likelihood principle is NP-hard. Therefore, all practical methods rely on heuristics. The topological transformations often used in heuristics are Nearest Neig...

    Authors: Mao-Zu Guo, Jian-Fu Li and Yang Liu

    Citation: BMC Bioinformatics 2008 9(Suppl 6):S4

    Content type: Research

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  6. Graphs and networks are common analysis representations for biological systems. Many traditional graph algorithms such as k-clique, k-coloring, and subgraph matching have great potential as analysis techniques...

    Authors: George Chin Jr, Daniel G Chavarria, Grant C Nakamura and Heidi J Sofia

    Citation: BMC Bioinformatics 2008 9(Suppl 6):S6

    Content type: Research

    Published on:

  9. Orthologous genes with deep phylogenetic histories are likely to retain similar regulatory features. In this report we utilize orthology assignments for pairs of genes co-regulated by bidirectional promoters t...

    Authors: Mary Qu Yang, James Taylor and Laura Elnitski

    Citation: BMC Bioinformatics 2008 9(Suppl 6):S9

    Content type: Research

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  10. Genetic association studies have been used to map disease-causing genes. A newly introduced statistical method, called exhaustive haplotype association study, analyzes genetic information consisting of differe...

    Authors: Hiroyuki Mishima, Andrew C Lidral and Jun Ni

    Citation: BMC Bioinformatics 2008 9(Suppl 6):S10

    Content type: Research

    Published on:

  11. In accordance with the increasing amount of information concerning individual differences in drug response and molecular interaction, the role of in silico prediction of drug interaction on the pathway level is b...

    Authors: Takeshi Arikuma, Sumi Yoshikawa, Ryuzo Azuma, Kentaro Watanabe, Kazumi Matsumura and Akihiko Konagaya

    Citation: BMC Bioinformatics 2008 9(Suppl 6):S11

    Content type: Research

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  13. Tandem mass spectrometry has emerged as a cornerstone of high throughput proteomic studies owing in part to various high throughput search engines which are used to interpret these tandem mass spectra. However...

    Authors: Fang-Xiang Wu, Pierre Gagné, Arnaud Droit and Guy G Poirier

    Citation: BMC Bioinformatics 2008 9(Suppl 6):S13

    Content type: Research

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  15. Historically, two categories of computational algorithms (alignment-based and alignment-free) have been applied to sequence comparison–one of the most fundamental issues in bioinformatics. Multiple sequence al...

    Authors: Guoqing Lu, Shunpu Zhang and Xiang Fang

    Citation: BMC Bioinformatics 2008 9(Suppl 6):S15

    Content type: Research

    Published on:

  19. Data clustering is a powerful technique for identifying data with similar characteristics, such as genes with similar expression patterns. However, not all implementations of clustering algorithms yield the sa...

    Authors: Gregory A Wilkin and Xiuzhen Huang

    Citation: BMC Bioinformatics 2008 9(Suppl 6):S19

    Content type: Research

    Published on:

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  • Citation Impact
    2.511 - 2-year Impact Factor
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BMC Bioinformatics

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