测序是一种技术，它是从具有明确特征的基因组提取的一个或多个短基因序列，并通过DNA分析来识别一个物种。
Barcoding is a technique in which one or more short gene sequences, taken from a well-characterized portion of the genome, are used to identify a species through DNA analysis.
在基因和基因组水平上分析这些序列的结构特征是亟待解决的问题。
It is the most pressing task to analyze these sequences at gene and genome level.
对其序列分析表明它具有启动子初级结构的基本特征。
Sequence analysis showed that it contained the basic characteristic of primary structure of promoter.
时间序列分析是统计学的分支之一，它的研究对象是离散有序数列的变化特征和变化趋势。
As one of the branches of statistics, time series analysis focuses on the variation characters and trend of discrete ordered data series mainly.
通过时间序列分析建立反映切削状态的数学模型，从动态数据中凝聚信息，构成用于判别的特征向量。
By time series analysis, we build models depicting the cutting tool states, coacervate information from dynamic date and construct feature vectors for discrimination.
文章分析了模型建立的目的和特征，阐述了时间序列分析的定义、分类、特征和应用领域。
This paper analyzed the aim and characteristic of model establish, expounded time series analytic definition, classification, feature and application domain.
引入非线性动力学理论和混沌时间序列分析方法考察强震地面运动加速度时程的非线性特征。
The nonlinear dynamic theory and the chaotic time series analysis method were adopted to examine the nonlinear characteristics of strong earthquake ground motions in this paper.
针对滥用类入侵检测技术存在的不足，提出了基于特征信息序列语法分析的入侵检测技术。
Aiming at shortcomings of the present technologies, this paper offers a new intrusion-detection technology which is based on sequence of characteristic information syntax analysis.
本文基于时间序列分析ARMA模型探讨了结构损伤特征提取和损伤预警的实现方法。
An algorithm of feature extraction and damage alarming based on auto-regressive moving-average (ARMA) time series analysis is presented.
作者提出一种用于DNA序列结构分析的特征抽取方法。
A method of feature extraction is pro-posed for structure analysis of DNA sequence data.
由于实际信号常常具有非平稳特征，直接应用AR模型进行时间序列分析，得不到理想的效果。
The real signals have often non-stationary characteristic, so if we analyse these time series using AR model directly, we cant obtain design result.
本研究表明，同时采集地下外生菌根和地上子实体，并结合菌根和子实体的分子序列分析和菌根形态特征观察，是研究外生菌根真菌群落的有效手段。
The practice in this work demonstrated that integrating ECM morphotyping and sporocarps surveys with DNA analysis of ECMF is an effective approach for documenting the ECMF community.
水稻基因序列的特征分析解水稻基因组的组成与结构规律具有重要意义。
Featural analysis of rice gene is valuable for understanding the composition and structure features of the rice genome.
本文通过对业务在执行过程中，业务逻辑实例与外部实体交互消息的分析，提出一个基于消息序列语义的特征交互形式模型。
This paper proposes a formal model of feature interactions based on the semantic of message lists in runtime between the object of service logical programming instance and the network entities.
以我国西南地区松潘、黄龙、龙陵、盐源等典型地震序列为例，分析了不同尺度地震空间活动性异常的结构特征。
Taking typical sequences in Southwest China as research cases, we systematically study the structure characters of spatial activity of earthquake on different scales.
分析了全球陆地平均的年、季降水序列的周期和趋势特征。
We analyzed the time series of global land average annual and seasonal precipitation.
详细阐明了时间序列的基本思想、几种基本时序模型和时序动态特征，讨论分析了如何进行模型识别、模型参数计算和模型的定阶。
The basic idea and some kinds of the common time series models and the development characteristics of time series are explained in detail.
基于短时交通量时间序列的随机波动特征，提出一种小波分析和模糊马尔柯夫结合的预测方法。
Based on the dynamic and stochastic characteristic of short-term traffic volume, an approach combined wavelet analysis and fuzzy Markov forecasting model is put forward.
方法：对细胞信号转导系统的反应序列特征进行分析。
Methods: The characteristics of the reactions in this system were analyzed.
因此分析DNA序列的分形特性不仅有助于理解生物进化的规律，而且它还有助于了解遗传语言的特征。
The analysis of DNA sequence not only helps us to find out rules in biological evolution but also understand the character of genetic language.
本文从研究可钻性时间序列特征出发，应用分形几何方法，分析了可钻性时序的可预测性。
In this paper the predictability of drillability time series was analyzed using fractal method based on the study of drillability time series characters.
本文提出用图象序列分析和特征抽取的方法来自动识别人体关节点。
The authors of this paper have put forward the method of automatic recognition of joint points in the human body by means of image sequence analysis and feature extraction.
针对沉降数据序列的特征，研究了多项式回归方法、小波降噪方法、频谱分析法在沉降数据处理中的应用。
Probing to characters of subsidence series, we study on application of polynomial regression, wavelet denoising and frequency analysis on subsidence series processing.
利用地表露头、岩心、薄片和成像测井等资料，对该区裂缝的成因类型、分布特征及其形成序列进行了分析。
Using the data of outcrops, cores, thin sections and image logs, we analyzed the fracture origin types, distribution characteristics and formation sequences.
分析了电磁轴承多传感器故障的基本特征，提出了电磁轴承多传感器故障诊断方法——基于序列变量的多值逻辑代数方法。
It was analyzed in detail about the way of fault diagnosis of the sensors of magnetic bearings in guidance with the multi-valued logic algebra.
空间弹道目标的光学强度序列分析与识别特征的提取。
The exo-atmospheric ballistic target's optical signature and recognition feature is studied.
以贵州后寨典型岩溶小流域为例，采用时间序列分析方法分析了岩溶含水系统的水动力特征。
Using the Houzhai karst watershed in Guizhou Province as an example, a time series analysis method was used to study the hydrodynamic characteristics of the karst aquifer system.
以抚顺老虎台矿矿山地震监测、开采、气象、地质等资料为基础，分析了老虎台矿矿山地震活动的时间、频度等序列特征。
On the basis of mining tremor records, mining status, meteorologic dare and tectonic structure of Laohu Tai coal mine, the time and frequencys sequential features of mining tremors are studied.
本文通过非线性时间序列分析的方法来分析心音时间序列，获得有关冠状动脉阻塞的血液动力学特征信息。
Nonlinear time series analysis is applied in analyzing heart sounds for acquiring hemodynamic character of partly or completely occluded coronary artery.
本文通过非线性时间序列分析的方法来分析心音时间序列，获得有关冠状动脉阻塞的血液动力学特征信息。
Nonlinear time series analysis is applied in analyzing heart sounds for acquiring hemodynamic character of partly or completely occluded coronary artery.
应用推荐