Koyano Hitoshi, Kishino Hirohisa
Graduate School of Agricultural and Life Sciences, University of Tokyo, Yayoi 1-1-1, Bunkyo-ku, Tokyo 113-8657, Japan.
Phys Rev E Stat Nonlin Soft Matter Phys. 2010 Jun;81(6 Pt 1):061912. doi: 10.1103/PhysRevE.81.061912. Epub 2010 Jun 7.
We present a methodology for quantifying biodiversity at the sequence level by developing the probability theory on a set of strings. Further, we apply our methodology to the problem of quantifying the population diversity of microorganisms in several extreme environments and digestive organs and reveal the relation between microbial diversity and various environmental parameters.
我们通过在一组字符串上发展概率论,提出了一种在序列水平上量化生物多样性的方法。此外,我们将我们的方法应用于量化几种极端环境和消化器官中微生物种群多样性的问题,并揭示了微生物多样性与各种环境参数之间的关系。