Bacterial flora-typing with targeted,chip-based Pyrosequencing |
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| Authors: | Andreas Sundquist Saharnaz Bigdeli Roxana Jalili Maurice L Druzin Sarah Waller Kristin M Pullen Yasser Y El-Sayed M Mark Taslimi Serafim Batzoglou Mostafa Ronaghi |
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| Affiliation: | (1) Department of Computer Science, Stanford University, Stanford, CA 94305, USA;(2) Stanford Genome Technology Center, Stanford University, Palo Alto, CA 94304, USA;(3) Department of Obstetrics and Gynecology, Stanford University Medical Center, Palo Alto, CA 94305, USA |
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| Abstract: | Background The metagenomic analysis of microbial communities holds the potential to improve our understanding of the role of microbes in clinical conditions. Recent, dramatic improvements in DNA sequencing throughput and cost will enable such analyses on individuals. However, such advances in throughput generally come at the cost of shorter read-lengths, limiting the discriminatory power of each read. In particular, classifying the microbial content of samples by sequencing the < 1,600 bp 16S rRNA gene will be affected by such limitations. |
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