尼古拉斯序列

尼古拉斯序列,在2010年由印度生物學家尼古拉斯·翰秘爾·岡蕉妮(Nicolas H. Ganjory)提出。

基本介紹

  • 中文名:尼古拉斯序列
  • 提出者:尼古拉斯·翰秘爾·岡蕉妮
  • 形式:常態分配機率
基本信息,詳細定義,

基本信息

該序列與彘的第5號染色體(彘的色辨基因、前布基因等分布染色體)基因組分布有著非常大的關聯,以常態分配機率形式與基因出現頻率耦合,故在彘科研究中占據著重要的地位。

詳細定義

對於機率分布的耦合程度,尼古拉斯博士給出了如下的分布定義:
尼古拉斯序列
機率分布耦合程度衡量公示
該序列的函式表達形式為:
Nicof({SEQ}n) = inJoin(nExpand(Nicof({SEQ}n-1)) + nExpand(Nicof({SEQ}n-2)))
以下是MATLAB的部分模擬運算結果:
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAATCTCCGCGTCTCCGCGCGCGGAGACGCGGAGATCTCCGCGTCTCCGCGCGCGGAGACGCGGAGACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAATCTCCGCGTCTCCGCGCGCGGAGACGCGGAGATCTCCGCGTCTCCGCGCGCGGAGACGCGGAGACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAATCTCCGCGTCTCCGCGCGCGGAGACGCGGAGATCTCCGCGTCTCCGCGCGCGGAGACGCGGAGACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAATCTCCGCGTCTCCGCGCGCGGAGACGCGGAGATCTCCGCGTCTCCGCGCGCGGAGACGCGGAGACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAATCTCCGCGTCTCCGCGCGCGGAGACGCGGAGATCTCCGCGTCTCCGCGCGCGGAGACGCGGAGACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAATCTCCGCGTCTCCGCGCGCGGAGACGCGGAGATCTCCGCGTCTCCGCGCGCGGAGACGCGGAGACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAATCTCCGCGTCTCCGCGCGCGGAGACGCGGAGATCTCCGCGTCTCCGCGCGCGGAGACGCGGAGACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAATCTCCGCGTCTCCGCGCGCGGAGACGCGGAGATCTCCGCGTCTCCGCGCGCGGAGACGCGGAGACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAACGCGGAGACGCGGAGAGAGAAAAAGAGAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAAGAGAAAAAGAGAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAATTTTTTTTTTTTTTTTTTTTTATATTTTTATATTTTTTTTTTTTTTTTTTTTTATATTTTTATATTTTTATATTTTTATATATAAAAATATAAAAATTTTTATATTTTTATATATAAAAATATAAAAATTTTTTTTTTTTTTTTTTTTTATATTTTTATATTTTTTTTTTTTTTTTTTTTTATATTTTTATATTTTTATATTTTTATATATAAAAATATAAAAATTTTTATATTTTTATATATAAAAATATAAAAATTTTTATATTTTTATATATAAAAATATAAAAATTTTTATATTTTTATATATAAAAATATAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAATTTTTATATTTTTATATATAAAAATATAAAAATTTTTATATTTTTATATATAAAAATATAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAATTTTTTTTTTTTTTTTTTTTTATATTTTTATATTTTTTTTTTTTTTTTTTTTTATATTTTTATATTTTTATATTTTTATATATAAAAATATAAAAATTTTTATATTTTTATATATAAAAATATAAAAATTTTTTTTTTTTTTTTTTTTTATATTTTTATATTTTTTTTTTTTTTTTTTTTTATATTTTTATATTTTTATATTTTTATATATAAAAATATAAAAATTTTTATATTTTTATATATAAAAATATAAAAATTTTTATATTTTTATATATAAAAATATAAAAATTTTTATATTTTTATATATAAAAATATAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAATTTTTATATTTTTATATATAAAAATATAAAAATTTTTATATTTTTATATATAAAAATATAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAAGTGTTATAGTGTTATATATAAAAATATAAAAAGTGTTATAGTGTTATATATAAAAATATAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAAGTGTTATAGTGTTATATATAAAAATATAAAAAGTGTTATAGTGTTATATATAAAAATATAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAGTGTTATAGTGTTATATATAAAAATATAAAAAGTGTTATAGTGTTATATATAAAAATATAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAAGTGTTATAGTGTTATATATAAAAATATAAAAAGTGTTATAGTGTTATATATAAAAATATAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAGTGTTTTTGTGTTTTTTTTTTATATTTTTATAGTGTTTTTGTGTTTTTTTTTTATATTTTTATATTTTTATATTTTTATATATAAAAATATAAAAATTTTTATATTTTTATATATAAAAATATAAAAAGTGTTTTTGTGTTTTTTTTTTATATTTTTATAGTGTTTTTGTGTTTTTTTTTTATATTTTTATATTTTTATATTTTTATATATAAAAATATAAAAATTTTTATATTTTTATATATAAAAATATAAAAATTTTTATATTTTTATATATAAAAATATAAAAATTTTTATATTTTTATATATAAAAATATAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAATTTTTATATTTTTATATATAAAAATATAAAAATTTTTATATTTTTATATATAAAAATATAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAAGTGTTTTTGTGTTTTTTTTTTATATTTTTATAGTGTTTTTGTGTTTTTTTTTTATATTTTTATATTTTTATATTTTTATATATAAAAATATAAAAATTTTTATATTTTTATATATAAAAATATAAAAAGTGTTTTTGTGTTTTTTTTTTATATTTTTATAGTGTTTTTGTGTTTTTTTTTTATATTTTTATATTTTTATATTTTTATATATAAAAATATAAAAATTTTTATATTTTTATATATAAAAATATAAAAATTTTTATATTTTTATATATAAAAATATAAAAATTTTTATATTTTTATATATAAAAATATAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAATTTTTATATTTTTATATATAAAAATATAAAAATTTTTATATTTTTATATATAAAAATATAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAACTCTTATACTCTTATATATAAAAATATAAAAACTCTTATACTCTTATATATAAAAATATAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAACTCTTATACTCTTATATATAAAAATATAAAAACTCTTATACTCTTATATATAAAAATATAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACTCTTATACTCTTATATATAAAAATATAAAAACTCTTATACTCTTATATATAAAAATATAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAACTCTTATACTCTTATATATAAAAATATAAAAACTCTTATACTCTTATATATAAAAATATAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAATATAAAAATATAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
最新進展
印度理工學院(indian institute of technology)生命科學系教授,比格基·巴爾其·安東尼(Bickqi B.Anthony)與美國聖地亞哥大學(University of San Diego)生物學教授賈克斯·布魯克·哈德恩(J.B.Harden)合作進行的基因測序研究工程中發現,在所測序的基因組長度接近10^13時,實際基因分布與尼古拉斯序列的分布偏離度穩定在0.0000386%,這一現象很有可能與基因突變現象有關聯。
尼古拉斯序列
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  1. 百科名片
  2. 基本信息
  3. 詳細定義

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