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BMC Bioinformatics

Volume 7 Supplement 4

Symposium of Computations in Bioinformatics and Bioscience (SCBB06)

Research

Edited by http://mfgn.usm.edu/ebl/SCBB06

Symposium of Computations in Bioinformatics and Bioscience (SCBB06) in conjunction with the International Multi-Symposiums on Computer and Computational Sciences 2006 (IMSCCS. Go to conference site.

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  1. Content type: Review

    The first symposium of computations in bioinformatics and bioscience (SCBB06) was held in Hangzhou, China on June 21–22, 2006. Twenty-six peer-reviewed papers were selected for publication in this special issu...

    Authors: Youping Deng, Jun Ni and Chaoyang Zhang

    Citation: BMC Bioinformatics 2006 7(Suppl 4):S1

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  2. Content type: Research

    Haplotype analysis has gained increasing attention in the context of association studies of disease genes and drug responsivities over the last years. The potential use of haplotypes has led to the initiation ...

    Authors: Qiangfeng Zhang, Yuzhong Zhao, Guoliang Chen and Yun Xu

    Citation: BMC Bioinformatics 2006 7(Suppl 4):S5

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  3. Content type: Research

    Structure matching plays an important part in understanding the functional role of biological structures. Bioinformatics assists in this effort by reformulating this process into a problem of finding a maximum...

    Authors: Xiuzhen Huang, Jing Lai and Steven F Jennings

    Citation: BMC Bioinformatics 2006 7(Suppl 4):S6

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  4. Content type: Research

    Microarray techniques have revolutionized genomic research by making it possible to monitor the expression of thousands of genes in parallel. As the amount of microarray data being produced is increasing at an...

    Authors: Lily R Liang, Shiyong Lu, Xuena Wang, Yi Lu, Vinay Mandal, Dorrelyn Patacsil and Deepak Kumar

    Citation: BMC Bioinformatics 2006 7(Suppl 4):S7

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  5. Content type: Research

    Protein sequence clustering has been widely used as a part of the analysis of protein structure and function. In most cases single linkage or graph-based clustering algorithms have been applied. OPTICS (Orderi...

    Authors: Yonghui Chen, Kevin D Reilly, Alan P Sprague and Zhijie Guan

    Citation: BMC Bioinformatics 2006 7(Suppl 4):S10

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  6. Content type: Research

    One main research challenge in the post-genomic era is to understand the relationship between protein sequences and their biological functions. In recent years, several automated annotation systems have been d...

    Authors: Zhong-Hui Duan, Brent Hughes, Lothar Reichel, Dianne M Perez and Ting Shi

    Citation: BMC Bioinformatics 2006 7(Suppl 4):S11

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  7. Content type: Research

    Multicategory Support Vector Machines (MC-SVM) are powerful classification systems with excellent performance in a variety of data classification problems. Since the process of generating models in traditional...

    Authors: Chaoyang Zhang, Peng Li, Arun Rajendran, Youping Deng and Dequan Chen

    Citation: BMC Bioinformatics 2006 7(Suppl 4):S15

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  8. Content type: Research

    Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped together according to their expression profiles u...

    Authors: Susmita Datta and Somnath Datta

    Citation: BMC Bioinformatics 2006 7(Suppl 4):S17

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  9. Content type: Research

    Comparative genomics has become an essential approach for identifying homologous gene candidates and their functions, and for studying genome evolution. There are many tools available for genome comparisons. U...

    Authors: Guoqing Lu, Liying Jiang, Resa MK Helikar, Thaine W Rowley, Luwen Zhang, Xianfeng Chen and Etsuko N Moriyama

    Citation: BMC Bioinformatics 2006 7(Suppl 4):S18

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  10. Content type: Research

    Spatio-temporal dynamics within cells can now be visualized at appropriate resolution, due to the advances in molecular imaging technologies. Even single-particle tracking (SPT) and single fluorophore video im...

    Authors: Ryuzo Azuma, Tetsuji Kitagawa, Hiroshi Kobayashi and Akihiko Konagaya

    Citation: BMC Bioinformatics 2006 7(Suppl 4):S20

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