Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Matt Morenzoni"'
Autor:
Robert Hartlage, Brock A. Peters, Igor Nazarenko, Jonathan Baccash, Calvin Kong, Vitali Karpinchyk, Andres Fernandez, Abraham M. Rosenbaum, Ryan J. Cedeno, Paolo Carnevali, Celeste E. McBride, Norman L. Burns, Shaunak Roy, Karen W. Shannon, George M. Church, Snezana Drmanac, Daniel F. Chernikoff, Radoje Drmanac, Geoffrey B. Nilsen, Claudia Richter, Coleen R. Hacker, Jay Shafto, William C. Banyai, Kaliprasad Pothuraju, Helena Perazich, Bruce L. Martin, Dennis G. Ballinger, Benjamin Curson, Linsu Chen, Brian Hauser, Steve Huang, Alexander Wait Zaranek, Anushka Brownley, Dylan Vu, Matt Morenzoni, Andrew B. Sparks, Matthew J. Callow, Alex Cheung, Clifford Reid, Adam P. Borcherding, George Yeung, Xiaodi Wu, Catherine Le, Tom Landers, Aaron L. Halpern, Bahram G. Kermani, Kimberly Perry, Arnold R. Oliphant, Mark Koenig, Charit L. Pethiyagoda, Michel Sun, Joseph V. Thakuria, Conrad G. Sheppy, Anne Tran, Robert E. Morey, Fredrik A. Dahl, Krishna Pant, Karl Mutch, Bryan Staker, Joe Peterson, Jessica Ebert, Yuan Jiang, Jia Liu, Razvan Chirita, Uladzislau Sharanhovich
Publikováno v:
Science. 327:78-81
Toward $1000 Genomes The ability to generate human genome sequence data that is complete, accurate, and inexpensive is a necessary prerequisite to perform genome-wide disease association studies. Drmanac et al. (p. 78 , published online 5 November) p
Autor:
Molly A. Bogue, Charit L. Pethiyagoda, Laura L. Stuve, Kelly A. Frazer, David Cox, F. M. Johnson, Geoffrey B. Nilsen, Claire M. Wade, Eleazar Eskin, Hyun Min Kang, Julie Montgomery, Matt Morenzoni, Erica Beilharz, David A. Hinds, Mark J. Daly, Robert V. Gupta
Publikováno v:
Nature. 448:1050-1053
A dense map of genetic variation in the laboratory mouse genome will provide insights into the evolutionary history of the species and lead to an improved understanding of the relationship between inter-strain genotypic and phenotypic differences. He
Autor:
Jessica Ebert, Vitali Karpinchyk, Igor Nazarenko, Dennis G. Ballinger, Jonathan M. Baccash, Anushka Brownley, Matt Morenzoni, Krishna Pant, Geoffrey B. Nilsen, Radoje Drmanac, Aaron L. Halpern, Bruce K. Martin, Paolo Carnevali
Publikováno v:
Journal of computational biology : a journal of computational molecular cell biology. 19(3)
Unchained base reads on self-assembling DNA nanoarrays have recently emerged as a promising approach to low-cost, high-quality resequencing of human genomes. Because of unique characteristics of these mated pair reads, existing computational methods