Decoding Randomly Ordered DNA Arrays

• DOI: 10.1101/gr.2255804
• Publication Date: 2004-04-13T01:03:45Z
• Authors: Kevin L. Gunderson; Semyon Kruglyak; Michael S. Graige; Francisco Garcia; Bahram G. Kermani; Chanfeng Zhao; Diping Che; Todd Dickinson; Eliza Wickham; Jim Bierle; Dennis Doucet; Monika Milewski; Robert Yang; Chris Siegmund; Juergen Haas; Lixin Zhou; Arnold Oliphant; Jian-Bing Fan; Steven Barnard; Mark S. Chee
• Keywords: Sequencing by hybridization

We have developed a simple and efficient algorithm to identify each member of large collection DNA-linked objects through the use hybridization, applied it manufacture randomly assembled arrays beads in wells. Once has been used determine identity bead, microarray can be wide variety applications, including single nucleotide polymorphism genotyping gene expression profiling. The requires only few labels several sequential hybridizations thousands different DNA sequences with great accuracy. decoded tens arrays, 1520 represented at ∼30-fold redundancy by up ∼50,000 beads, median error rate <1 × 10 -4 per bead. approach makes checking codes provides, for first time, direct functional quality control every element array that is manufactured. any spatially fixed or molecules are associated specific sequences.