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<p class="MsoNormal"><b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif">From:</span></b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif"> fionammccarthy@gmail.com [mailto:fionammccarthy@gmail.com]
<b>On Behalf Of </b>Fiona McCarthy<br>
<b>Sent:</b> Friday, May 22, 2015 9:44 AM<br>
<b>To:</b> grads@acbs.arizona.edu; Johansen, Kathryn MaryRose - (millerk); Mclain, Jean E T - (mclainj); Marchello, Elaine V - (evm); Mattull, Rachael T - (rmattull); Driscoll, Nancy R - (nancya); Lambert, Georgina M - (glambert); Velasquez, Alicia M - (velasqua);
allthingsomics@list.arizona.edu<br>
<b>Subject:</b> new course in metagenomics<o:p></o:p></span></p>
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<p class="MsoNormal">This new course may be of interest to you or students you know. It will be offered in the Fall semester & instructor contact details are listed are the bottom of the email. (With apologies to those of you who may receive this email more
than once!)<o:p></o:p></p>
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<p class="MsoNormal">Fiona<o:p></o:p></p>
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<p class="MsoNormal"><b>Metagenomics: from genes to ecosystems (487/587)</b><o:p></o:p></p>
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<p class="MsoNormal">Course Overview: Environmental genomics is revolutionizing our understanding of microbes from the environment to human health, towards a holistic view of ecosystems or “One-Health”. At its core are new molecular methods called metagenomics
to sequence DNA directly from an environmental sample, thus capturing the whole microbial community and bypassing culture. Modern (Next-Gen) sequencing technologies offer vast new datasets of short sequence reads representing these microbial communities,
however many hurdles exist in interpreting data with high species complexity and given specialized software for microbial metagenomic analyses.<br>
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This course focuses on the science of metagenomics towards understanding (1) questions that metagenomics can address, (2) possible approaches for metagenomic sequencing and analysis, and (3) how genes, pathways, and environmental context are translated into
ecosystem-level knowledge. This course alternates between traditional lectures and hands-on experience with programming, bioinformatics tools, and metagenomic analysis. The course concludes with several weeks of seminar<span style="font-family:"Cambria Math",serif">‐</span>format
discussions on current research in metagenomic data analysis and a final project of your choice analyzing real<span style="font-family:"Cambria Math",serif">‐</span>world experimental data.<br>
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If you have problems enrolling in the ABE 487/587 course, please send an email to Dava Jondall at <a href="mailto:davaj@email.arizona.edu" target="_blank">davaj@email.arizona.edu</a>, please remember to include your student ID.<br>
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Sincerely,<br>
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Dr. Bonnie Hurwitz<o:p></o:p></p>
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Bonnie L. Hurwitz, PhD<br>
Assistant Professor<br>
Department of Agricultural and Biosystems Engineering<br>
University of Arizona | College of Agriculture and Life Sciences<br>
1177 E 4th Street | Tucson, AZ 85721<br>
<a href="tel:%28520%29%20626-9819" target="_blank">(520) 626-9819</a> | <a href="mailto:bhurwitz@email.arizona.edu" target="_blank">bhurwitz@email.arizona.edu</a><o:p></o:p></p>
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