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. Review

    Development of computations in bioscience and bioinformatics and its application: review of the Symposium of Computations in Bioinformatics and Bioscience (SCBB06)

    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...

    Youping Deng, Jun Ni and Chaoyang Zhang

    BMC Bioinformatics 2006 7(Suppl 4):S1

    Published on: 12 December 2006

  2. Research

    Estimate haplotype frequencies in pedigrees

    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 ...

    Qiangfeng Zhang, Yuzhong Zhao, Guoliang Chen and Yun Xu

    BMC Bioinformatics 2006 7(Suppl 4):S5

    Published on: 12 December 2006

  3. Research

    Maximum common subgraph: some upper bound and lower bound results

    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...

    Xiuzhen Huang, Jing Lai and Steven F Jennings

    BMC Bioinformatics 2006 7(Suppl 4):S6

    Published on: 12 December 2006

  4. Research

    SEQOPTICS: a protein sequence clustering system

    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...

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

    BMC Bioinformatics 2006 7(Suppl 4):S10

    Published on: 12 December 2006

  5. Research

    The relationship between protein sequences and their gene ontology functions

    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...

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

    BMC Bioinformatics 2006 7(Suppl 4):S11

    Published on: 12 December 2006

  6. Research

    Improved Chou-Fasman method for protein secondary structure prediction

    Protein secondary structure prediction is a fundamental and important component in the analytical study of protein structure and functions. The prediction technique has been developed for several decades. The ...

    Hang Chen, Fei Gu and Zhengge Huang

    BMC Bioinformatics 2006 7(Suppl 4):S14

    Published on: 12 December 2006

  7. Research

    Evaluation of clustering algorithms for gene expression data

    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...

    Susmita Datta and Somnath Datta

    BMC Bioinformatics 2006 7(Suppl 4):S17

    Published on: 12 December 2006

  8. Research

    GenomeBlast: a web tool for small genome comparison

    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...

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

    BMC Bioinformatics 2006 7(Suppl 4):S18

    Published on: 12 December 2006

  9. Research

    Clustering of gene expression data: performance and similarity analysis

    DNA Microarray technology is an innovative methodology in experimental molecular biology, which has produced huge amounts of valuable data in the profile of gene expression. Many clustering algorithms have bee...

    Longde Yin, Chun-Hsi Huang and Jun Ni

    BMC Bioinformatics 2006 7(Suppl 4):S19

    Published on: 12 December 2006

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