| International Conference on Analysis of Genomic Data | |
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United States - MA - Boston |
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| Hosted by: | The conference is jointly organized by the Boston Chapter of the American Statistical Association (BCASA) and the Channing Laboratory in the Department of Medicine of the Brigham and Women’s Hospital and Harvard Medical School. |
| Venue: | The Conference Center at Harvard Medical School |
| Dates: | May 10, 2004 through May 11, 2004 |
| Call for Proceedings Presentations: | 2004-01-01 through 2004-01-31 |
| Call for Posters: | 2004-01-01 through 2004-02-28 |
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Description |
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| The conference will cover current research on statistical models and bioinformatic methods for microarray data, proteomic data and population genetics. After genome sequencing, microarray technology has emerged as a widely used platform for genomic studies in the life sciences. DNA microarrays have high-density orderly arrangements of nucleic acid spots. Many research studies have demonstrated the general usefulness of genome probing using microarrays. While simultaneous measurement of thousands of gene expression levels provides a potential source of profound knowledge, success of the microarray technology depends on the precision of the measurements and on the integration of computational tools for data mining, visualization, and statistical modeling. With the abundance of data produced from genomic studies, the greatest challenge is analytical. The impact of genomic and proteomic technology on biology will depend heavily on bioinformatic methods and statistical analysis. Sophisticated data-mining and analytical tools are needed to correlate data obtained from the arrays, to group them in a meaningful way, and to perform statistical analysis in order to investigate hypotheses of interest. Experimental design and statistical methods provide powerful analytical tools to biologists for the study of living systems. Through statistical analysis and the graphical display of clustering and classification results, microarray experiments allow biologists to assimilate and explore the data in a natural and intuitive manner. The conference will provide a forum for discussion on statistical and bioinformatic methods for analyzing genomic data. It will also provide a bridge for smooth transition of statistical methods from the genomic era to the proteomic era. |
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| Additional Information | |
| Event URL: | http://www.amstat.org/chapters/boston/genomic/Main.htm |
| ISCB Member Discount: | None |
| Contact Person: | Mei-Ling Ting Lee ([javascript protected email address]) |
While ISCB provides for conference and event listings that may be of interest to members and bioinformaticians at large, ISCB is not responsible for the content provided by outside sources. Such listings are not meant as an endorsement by ISCB.
