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Volume 13 Supplement 8

The International Conference on Intelligent Biology and Medicine (ICIBM): Genomics


Edited by Zhongming Zhao, Yufei Huang, Hua Xu, Bing Zhang and Yu Shyr

The conference was supported by a grant from National Science Foundation, USA (1141979) and financial support from the Center for Quantitative Sciences, Vanderbilt University. There was no sponsorship or other external funding for publication of the supplement.

The International Conference on Intelligent Biology and Medicine (ICIBM). Go to conference site.

Nashville, TN, USA22-24 April 2012

  1. While genome-wide association studies identified some promising candidates for schizophrenia, the majority of risk genes remained unknown. We were interested in testing whether integration gene expression and ...

    Authors: Junzhe Xu, Jingchun Sun, Jingchun Chen, Lily Wang, Anna Li, Matthew Helm, Steven L Dubovsky, Silviu-Alin Bacanu, Zhongming Zhao and Xiangning Chen
    Citation: BMC Genomics 2012 13(Suppl 8):S2
  2. High-throughput RNA interference (RNAi) screens have been used to find genes that, when silenced, result in sensitivity to certain chemotherapy drugs. Researchers therefore can further identify drug-sensitive ...

    Authors: Fei Ye, Joshua A Bauer, Jennifer A Pietenpol and Yu Shyr
    Citation: BMC Genomics 2012 13(Suppl 8):S3
  3. Bacteria of the genus Sneathia are emerging as potential pathogens of the female reproductive tract. Species of Sneathia, which were formerly grouped with Leptotrichia, can be part of the normal microbiota of the...

    Authors: Michael D Harwich Jr, Myrna G Serrano, Jennifer M Fettweis, João MP Alves, Mark A Reimers, Gregory A Buck and Kimberly K Jefferson
    Citation: BMC Genomics 2012 13(Suppl 8):S4
  4. DNA methylation is an important epigenetic mark and dysregulation of DNA methylation is associated with many diseases including cancer. Advances in next-generation sequencing now allow unbiased methylome profi...

    Authors: Michael P Trimarchi, Mark Murphy, David Frankhouser, Benjamin AT Rodriguez, John Curfman, Guido Marcucci, Pearlly Yan and Ralf Bundschuh
    Citation: BMC Genomics 2012 13(Suppl 8):S6
  5. RNA sequencing (RNA-seq) has become a major tool for biomedical research. A key step in analyzing RNA-seq data is to infer the origin of short reads in the source genome, and for this purpose, many read alignm...

    Authors: Yuan Yuan, Clift Norris, Yanxun Xu, Kam-Wah Tsui, Yuan Ji and Han Liang
    Citation: BMC Genomics 2012 13(Suppl 8):S9
  6. Alternative splicing increases proteome diversity by expressing multiple gene isoforms that often differ in function. Identifying alternative splicing events from RNA-seq experiments is important for understan...

    Authors: Ao Zhou, Marcus R Breese, Yangyang Hao, Howard J Edenberg, Lang Li, Todd C Skaar and Yunlong Liu
    Citation: BMC Genomics 2012 13(Suppl 8):S10
  7. Due to the recent rapid development in ChIP-seq technologies, which uses high-throughput next-generation DNA sequencing to identify the targets of Chromatin Immunoprecipitation, there is an increasing amount o...

    Authors: Christina Schweikert, Stuart Brown, Zuojian Tang, Phillip R Smith and D Frank Hsu
    Citation: BMC Genomics 2012 13(Suppl 8):S12
  8. MicroRNAs (miRNAs) are 19-25 nucleotides non-coding RNAs known to have important post-transcriptional regulatory functions. The computational target prediction algorithm is vital to effective experimental test...

    Authors: Dong Yue, Maozu Guo, Yidong Chen and Yufei Huang
    Citation: BMC Genomics 2012 13(Suppl 8):S13
  9. Hepatocellular carcinoma (HCC) is one of the most fatal cancers in the world, and metastasis is a significant cause to the high mortality in patients with HCC. However, the molecular mechanism behind HCC metas...

    Authors: Lingyao Zeng, Jian Yu, Tao Huang, Huliang Jia, Qiongzhu Dong, Fei He, Weilan Yuan, Lunxiu Qin, Yixue Li and Lu Xie
    Citation: BMC Genomics 2012 13(Suppl 8):S14
  10. A variety of species and experimental designs have been used to study genetic influences on alcohol dependence, ethanol response, and related traits. Integration of these heterogeneous data can be used to prod...

    Authors: Zhongming Zhao, An-Yuan Guo, Edwin JCG van den Oord, Fazil Aliev, Peilin Jia, Howard J Edenberg, Brien P Riley, Danielle M Dick, Jill C Bettinger, Andrew G Davies, Michael S Grotewiel, Marc A Schuckit, Arpana Agrawal, John Kramer, John I Nurnberger Jr, Kenneth S Kendler…
    Citation: BMC Genomics 2012 13(Suppl 8):S16
  11. The application of next-generation sequencing to the study of the vaginal microbiome is revealing the spectrum of microbial communities that inhabit the human vagina. High-resolution identification of bacteria...

    Authors: Jennifer M Fettweis, Myrna G Serrano, Nihar U Sheth, Carly M Mayer, Abigail L Glascock, J Paul Brooks, Kimberly K Jefferson and Gregory A Buck
    Citation: BMC Genomics 2012 13(Suppl 8):S17
  12. Identifying the location of transcription factor bindings is crucial to understand transcriptional regulation. Currently, Chromatin Immunoprecipitation followed with high-throughput Sequencing (ChIP-seq) is ab...

    Authors: Yupeng He, Yizhe Zhang, Guangyong Zheng and Chaochun Wei
    Citation: BMC Genomics 2012 13(Suppl 8):S18
  13. Detecting the borders between coding and non-coding regions is an essential step in the genome annotation. And information entropy measures are useful for describing the signals in genome sequence. However, th...

    Authors: Suping Deng, Yixiang Shi, Liyun Yuan, Yixue Li and Guohui Ding
    Citation: BMC Genomics 2012 13(Suppl 8):S19
  14. Answering questions such as "Which genes are related to breast cancer?" usually requires retrieving relevant publications through the PubMed search engine, reading these publications, and creating gene lists. ...

    Authors: Jérôme Jourquin, Dexter Duncan, Zhiao Shi and Bing Zhang
    Citation: BMC Genomics 2012 13(Suppl 8):S20
  15. Many cancer clinical trials now specify the particular status of a genetic lesion in a patient's tumor in the inclusion or exclusion criteria for trial enrollment. To facilitate search and identification of ge...

    Authors: Yonghui Wu, Mia A Levy, Christine M Micheel, Paul Yeh, Buzhou Tang, Michael J Cantrell, Stacy M Cooreman and Hua Xu
    Citation: BMC Genomics 2012 13(Suppl 8):S21
  16. The discovery of molecular pathways is a challenging problem and its solution relies on the identification of causal molecular interactions in genomics data. Causal molecular interactions can be discovered usi...

    Authors: Alexander Statnikov, Mikael Henaff, Nikita I Lytkin and Constantin F Aliferis
    Citation: BMC Genomics 2012 13(Suppl 8):S22
  17. Gene expression data are noisy due to technical and biological variability. Consequently, analysis of gene expression data is complex. Different statistical methods produce distinct sets of genes. In addition,...

    Authors: Lijing Xu, Cheng Cheng, E Olusegun George and Ramin Homayouni
    Citation: BMC Genomics 2012 13(Suppl 8):S23

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