Title |
A scalable, fully automated process for construction of sequence-ready barcoded libraries for 454
|
---|---|
Published in |
Genome Biology, February 2010
|
DOI | 10.1186/gb-2010-11-2-r15 |
Pubmed ID | |
Authors |
Niall J Lennon, Robert E Lintner, Scott Anderson, Pablo Alvarez, Andrew Barry, William Brockman, Riza Daza, Rachel L Erlich, Georgia Giannoukos, Lisa Green, Andrew Hollinger, Cindi A Hoover, David B Jaffe, Frank Juhn, Danielle McCarthy, Danielle Perrin, Karen Ponchner, Taryn L Powers, Kamran Rizzolo, Dana Robbins, Elizabeth Ryan, Carsten Russ, Todd Sparrow, John Stalker, Scott Steelman, Michael Weiand, Andrew Zimmer, Matthew R Henn, Chad Nusbaum, Robert Nicol |
Abstract |
We present an automated, high throughput library construction process for 454 technology. Sample handling errors and cross-contamination are minimized via end-to-end barcoding of plasticware, along with molecular DNA barcoding of constructs. Automation-friendly magnetic bead-based size selection and cleanup steps have been devised, eliminating major bottlenecks and significant sources of error. Using this methodology, one technician can create 96 sequence-ready 454 libraries in 2 days, a dramatic improvement over the standard method. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 19 | 7% |
Brazil | 4 | 2% |
Switzerland | 2 | <1% |
Australia | 2 | <1% |
Germany | 2 | <1% |
Spain | 2 | <1% |
United Kingdom | 1 | <1% |
Canada | 1 | <1% |
Belgium | 1 | <1% |
Other | 5 | 2% |
Unknown | 219 | 85% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 100 | 39% |
Student > Ph. D. Student | 55 | 21% |
Professor | 19 | 7% |
Other | 17 | 7% |
Professor > Associate Professor | 16 | 6% |
Other | 33 | 13% |
Unknown | 18 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 175 | 68% |
Biochemistry, Genetics and Molecular Biology | 29 | 11% |
Medicine and Dentistry | 6 | 2% |
Environmental Science | 5 | 2% |
Computer Science | 4 | 2% |
Other | 14 | 5% |
Unknown | 25 | 10% |