Open Access Highly Accessed Correspondence

Microbes, metagenomes and marine mammals: enabling the next generation of scientist to enter the genomic era

Robert Alan Edwards1, John Matthew Haggerty2, Noriko Cassman2, Julia Christine Busch23, Kristen Aguinaldo2, Sowmya Chinta2, Meredith Houle Vaughn4, Robert Morey1, Timothy T Harkins56, Clotilde Teiling5, Karin Fredrikson57 and Elizabeth Ann Dinsdale1*

Author Affiliations

1 Computer Sciences Department, San Diego State University, 5500 Campanile Dr., San Diego 92182, CA, USA

2 Biology Department, San Diego State University, 5500 Campanile Dr., San Diego 92182, CA, USA

3 Current Address: Scripps Institute of Oceanography, University of California, 9500 Gilman Drive, San Diego 92023, La Jolla, USA

4 School of Teacher Education, San Diego State University, 5500 Campanile Dr., San Diego 92182, CA, USA

5 Roche 454 Lifesciences, 15 Commercial Street, Branford 06405, CT, USA

6 Current Address: Life Technologies, Advanced Application Development, Beverly 01915, MA, USA

7 Current Address: Immun Array 800, East Leigh Street, Suite 15, Richmond 23219, VA, USA

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BMC Genomics 2013, 14:600  doi:10.1186/1471-2164-14-600

Published: 4 September 2013

Additional files

Additional file 1: Table S1:

Lecture and lab schedule for the ecological metagenomics class. Table S2. The question for the Pre and Post quiz given to students in the ecological metagenomics class. Table S3. The proportion of repeat regions identified in the California sea lion, panda, dog, human, and mouse. Table S4. The number of sequences that met each of the filter controls on three sequencing runs conducted by the students on a titanium plate divided into 4 lanes. Table S5. The sequence characteristics of three metagenomes, constructed from the surface water off Mission Beach (California) and two marine samples that were from the kelp forest and used in an experimental manipulation (kelp tanks 1 and 3), sequenced by the class in 2010. Table S6. Class reports for Spring 2010, showing that the students covered a large range of topics and learned about many characteristics of genomic data.

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