尼古拉斯序列

基本信息

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。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：

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

在印度理工學院（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。