PineRefSeq David B. Neale University of California, Davis Pieter J. de Jong Children’s Hospital of Oakland Research Institute.

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Presentation transcript:

PineRefSeq David B. Neale University of California, Davis Pieter J. de Jong Children’s Hospital of Oakland Research Institute Charles H. Langley University of California, Davis Steven L. Salzberg Johns Hopkins University James A. Yorke University of Maryland Keithanne Mockaitis Indiana University Carol Loopstra Texas A&M University Doreen S. Main Washington State University Jill L. Wegrzyn University of California, Davis

Conifer Genomics Workshop Banbury Center March 18-21, 2007

The Maryland Genome Assembly Group featuring co-PD Steven Salzberg and Daniela Puiu (Johns Hopkins U) and co-PD Jim Yorke and Aleksey Zimin (U of Maryland) PD David Neale (r), co-PD Jill Wegrzyn (c), and (l to r) John Liechty, Ben Figueroa, and Patrick McGuire UC Davis Co-PD Chuck Langley (r) and (l to r) Marc Crepeau, Kristian Stevens, and Charis Cardeno UC Davis (l to r) Co-PD Pieter de Jong, Ann Holtz-Morris, Maxim Koriabine, Boudewijn ten Hallers CHORI BAC/PAC Co-PD Carol Loopstra and Jeff Puryear TAMU Co-PD Keithanne Mockaitis and Zach Smith Indiana U Co-PD Dorrie Main WSU DP SS AZ JY

Guiding Principles of the PineRefSeq Project EMPOWERMENT. Our goal is to develop the technologies, platforms and bioinformatics infrastructures to rapidly and inexpensively sequence large and complex genomes of coniferous forest trees. This will allow the forestry community to begin sequencing the many genomes of economic and ecological importance without a dependence on centralized genome centers. ADAPTIVE. We recognize the sequencing technologies are developing rapidly and that we must have the expertise and flexibility to rapidly adopt new approaches into our overall sequencing strategy. COMPARATIVE. We recognize the power of comparative genomics approaches in assembling and annotating genome sequences and will use this approach throughout the project. Open Access. Unrestricted and rapid release of data.