Decoding randomly ordered DNA arrays. Export

@article{citeulike:942304, abstract = {We have developed a simple and efficient algorithm to identify each member of a large collection of DNA-linked objects through the use of hybridization, and have applied it to the manufacture of randomly assembled arrays of beads in wells. Once the algorithm has been used to determine the identity of each bead, the microarray can be used in a wide variety of applications, including single nucleotide polymorphism genotyping and gene expression profiling. The algorithm requires only a few labels and several sequential hybridizations to identify thousands of different DNA sequences with great accuracy. We have decoded tens of thousands of arrays, each with 1520 sequences represented at approximately 30-fold redundancy by up to approximately 50,000 beads, with a median error rate of <1 x 10(-4) per bead. The approach makes use of error checking codes and provides, for the first time, a direct functional quality control of every element of each array that is manufactured. The algorithm can be applied to any spatially fixed collection of objects or molecules that are associated with specific DNA sequences.}, address = {Illumina, Inc., San Diego, California 92121, USA.}, author = {Gunderson, Kevin L. and Kruglyak, Semyon and Graige, Michael S. and Garcia, Francisco and Kermani, Bahram G. and Zhao, Chanfeng and Che, Diping and Dickinson, Todd and Wickham, Eliza and Bierle, Jim and Doucet, Dennis and Milewski, Monika and Yang, Robert and Siegmund, Chris and Haas, Juergen and Zhou, Lixin and Oliphant, Arnold and Fan, Jian-Bing B. and Barnard, Steven and Chee, Mark S.}, citeulike-article-id = {942304}, citeulike-linkout-0 = {http://dx.doi.org/10.1101/gr.2255804}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/15078854}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=15078854}, doi = {10.1101/gr.2255804}, issn = {1088-9051}, journal = {Genome research}, keywords = {illumina, microarray, platform}, month = {May}, number = {5}, pages = {870--877}, posted-at = {2008-10-23 04:32:08}, priority = {2}, title = {Decoding randomly ordered DNA arrays.}, url = {http://dx.doi.org/10.1101/gr.2255804}, volume = {14}, year = {2004} }

TY - JOUR ID - citeulike:942304 L3 - citeulike-article-id:942304 N2 - We have developed a simple and efficient algorithm to identify each member of a large collection of DNA-linked objects through the use of hybridization, and have applied it to the manufacture of randomly assembled arrays of beads in wells. Once the algorithm has been used to determine the identity of each bead, the microarray can be used in a wide variety of applications, including single nucleotide polymorphism genotyping and gene expression profiling. The algorithm requires only a few labels and several sequential hybridizations to identify thousands of different DNA sequences with great accuracy. We have decoded tens of thousands of arrays, each with 1520 sequences represented at approximately 30-fold redundancy by up to approximately 50,000 beads, with a median error rate of <1 x 10(-4) per bead. The approach makes use of error checking codes and provides, for the first time, a direct functional quality control of every element of each array that is manufactured. The algorithm can be applied to any spatially fixed collection of objects or molecules that are associated with specific DNA sequences. IS - 5 JF - Genome research SN - 1088-9051 AD - Illumina, Inc., San Diego, California 92121, USA. EP - 877 TI - Decoding randomly ordered DNA arrays. VL - 14 SP - 870 KW - illumina KW - microarray KW - platform AU - Gunderson, Kevin AU - Kruglyak, Semyon AU - Graige, Michael AU - Garcia, Francisco AU - Kermani, Bahram AU - Zhao, Chanfeng AU - Che, Diping AU - Dickinson, Todd AU - Wickham, Eliza AU - Bierle, Jim AU - Doucet, Dennis AU - Milewski, Monika AU - Yang, Robert AU - Siegmund, Chris AU - Haas, Juergen AU - Zhou, Lixin AU - Oliphant, Arnold AU - Fan, Jian-Bing AU - Barnard, Steven AU - Chee, Mark PY - 2004/05// UR - http://dx.doi.org/10.1101/gr.2255804 ER -