ISEEM

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{{ISEEM}}
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The iSEEM Project
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<div style="width: 750px;padding-right: 25px; padding-left: 25px;font-family: Arial, Helvetica, sans-serif;font-size: 12px;margin-bottom: 30px;line-height: 18px;padding-top: 0px;"><span style="float: left;border: 2px solid #666666;margin-right: 30px;margin-bottom: 10px;">[[Image:dk4.jpg]]</span>Microbes play fundamental roles in all biology-associated processes on the planet. A powerful new tool in such studies is metagenomics wherein one uses high throughput DNA sequencing methods on DNA isolated directly from environmental samples. Metagenomics has the potential to revolutionize our understanding of the normally hidden yet incredibly important world of microorganisms. However this great potential comes with enormous challenges in the analysis of the sequence data, including (i) the fragmentary nature of sequence data, (ii) the sparse sampling of genomes, populations and communities, and (iii) the unknown phylogenetic diversity and ecological structure of the communities being sampled.
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[[iSEEM | <font face="trebuchet ms" style="color:#55778D"> '''Home''' </font>]] &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
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We are now working on methodology for analysis of metagenomic data as part of a new collaborative project: '''Integrating Statistical Evolutionary, and Ecological Approaches to Metagenomics (iSEEM)'''. The iSEEM Project, funded by the [http://www.moore.org/ Gordon and Betty Moore Foundation], takes an integrated, interdisciplinary approach to metagenomic analysis. We will be working with the [http://camera.calit2.net Community Cyberinfrastructure for Advanced Marine Microbial Ecology Research and Analysis (CAMERA)] to make any methods we develop available to the broader community.</div>
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[[iSEEM:Who We Are | <font face="trebuchet ms" style="color:#55778D"> '''Who We Are''' </font>]] &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
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[[iSEEM:What We Do | <font face="trebuchet ms" style="color:#55778D"> '''Project''' </font>]] &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
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[[iSEEM:Group Members | <font face="trebuchet ms" style="color:#55778D"> '''Group Members''' </font>]] &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
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[[iSEEM:Publications, Talks & Media | <font face="trebuchet ms" style="color:#55778D"> '''News''' </font>]] &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
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[[iSEEM:Group Members Only | <font face="trebuchet ms" style="color:#55778D"> '''Members Only''' </font>]] &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
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</div><br>
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[[Category:Group]]
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<div style="width: 775px;border-bottom-width: 2px;;border-bottom-style: solid;border-bottom-color: #333333;font-family: Arial, Helvetica, sans-serif;font-size: 11px;color: #333333;font-style: italic;padding-left: 25px;">above image &copy; 2007, Dennis Kunkel</div>
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=iSEEM Project =
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Current revision

Image:header6.jpg

Home Project People News Members Only Calendar Library


Image:dk4.jpgMicrobes play fundamental roles in all biology-associated processes on the planet. A powerful new tool in such studies is metagenomics wherein one uses high throughput DNA sequencing methods on DNA isolated directly from environmental samples. Metagenomics has the potential to revolutionize our understanding of the normally hidden yet incredibly important world of microorganisms. However this great potential comes with enormous challenges in the analysis of the sequence data, including (i) the fragmentary nature of sequence data, (ii) the sparse sampling of genomes, populations and communities, and (iii) the unknown phylogenetic diversity and ecological structure of the communities being sampled. We are now working on methodology for analysis of metagenomic data as part of a new collaborative project: Integrating Statistical Evolutionary, and Ecological Approaches to Metagenomics (iSEEM). The iSEEM Project, funded by the Gordon and Betty Moore Foundation, takes an integrated, interdisciplinary approach to metagenomic analysis. We will be working with the Community Cyberinfrastructure for Advanced Marine Microbial Ecology Research and Analysis (CAMERA) to make any methods we develop available to the broader community.
above image © 2007, Dennis Kunkel
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