Human Genome Sequencing Using Unchained Base Reads on Self-Assembling DNA Nanoarrays

@article{Drmanac2010HumanGS,
  title={Human Genome Sequencing Using Unchained Base Reads on Self-Assembling DNA Nanoarrays},
  author={R. Drmanac and Andrew B. Sparks and Matthew J. Callow and Aaron L. Halpern and Norman L Burns and Bahram Ghaffarzadeh Kermani and Paolo Carnevali and Igor Nazarenko and Geoffrey B. Nilsen and George Yeung and Fredrik Dahl and Andr{\'e}s G Fernandez and Bryan P. Staker and Krishna Prasad Pant and Jonathan Baccash and Adam Borcherding and Anushka Brownley and Ryan James Cedeno and Linsu Chen and Dan Chernikoff and Alex Cheung and Razvan Chirita and B. Curson and Jessica C. Ebert and Coleen R. Hacker and Robert B. Hartlage and Brian Hauser and Steve Huang and Yuan Jiang and Vitali Karpinchyk and Mark Koenig and Calvin Kong and Tom Landers and Catherine Le and Jia Liu and Celeste McBride and Matt Morenzoni and Robert E Morey and Karl Mutch and Helena Perazich and Kimberly Perry and Brock A. Peters and Joseph E. Peterson and Charit L Pethiyagoda and Kaliprasad Pothuraju and Claudia Richter and Abraham M. Rosenbaum and Shaunak Roy and Jay Shafto and Uladzislau Sharanhovich and Karen W. Shannon and C. Sheppy and Michel Sun and Joseph V. Thakuria and Anne Tran and Dylan Vu and Alexander Wait Zaranek and Xiaodi Wu and Snezana Drmanac and Arnold R. Oliphant and William C. Banyai and Bruce Martin and Dennis Ballinger and George M. Church and Clifford A Reid},
  journal={Science},
  year={2010},
  volume={327},
  pages={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) present a technique advancing toward this goal. The method uses Type IIS endonucleases to incorporate short oligonucleotides within a set of randomly sheared circularized DNA. DNA polymerase then generates concatenated copies of the circular… 
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