-
公开(公告)号：KR1020150066989A
公开(公告)日：2015-06-17
申请号：KR1020140022109
申请日：2014-02-25
Applicant: 한국전자통신연구원
CPC classification number: G06F19/22 , C12Q1/6869 , C12Q2600/156
Abstract: 본발명에따른염기서열분석장치의 SNP 판별방법은: 레퍼런스유전체서열의소정의위치에대한전체리드들중 복수를입력서열로샘플링하는단계; 상기샘플링된입력서열들과상기레퍼런스유전체서열을이용하여우도매트릭스를계산하는단계; 상기계산된우도매트릭스와상기레퍼런스유전체서열을근거로하여사후확률을계산하는단계; 및상기계산된사후확률을근거로하여유전형을평가한뒤, 상기소정의위치를 SNP로판별하는단계를포함한다.
Abstract translation: 根据本发明，使用DNA测序装置的SNP检测方法包括以下步骤：对参考基因组序列上的预定位置的一些总读取序列作为输入序列进行取样; 通过使用采样输入序列和参考基因组序列计算似然矩阵; 基于计算矩阵和参考基因组序列计算后验概率; 并且基于所计算的后验概率确定基因型后，用SNP检测预定位置。
-
公开(公告)号：KR1020140081385A
公开(公告)日：2014-07-01
申请号：KR1020120151072
申请日：2012-12-21
Applicant: 한국전자통신연구원
CPC classification number: C12Q1/6869 , G06F19/10
Abstract: The present invention relates to a read sequence alignment method and a read sequence alignment apparatus using the same and, more specifically, to a method for aligning a read sequence with respect to a reference genome using a seed and a read sequence alignment apparatus using the same. The read sequence alignment apparatus according to the present invention comprises a seed creating unit for creating seeds from read sequences; a duplicate seed removal unit for searching duplicate seeds among the seeds, indexing the seeds based on information on the duplicate seeds and generating a seed set obtained by removing the duplicate seeds from the seeds; a seed alignment unit for aligning the seed set with respect to the reference genome; and a read sequence alignment unit for aligning the read sequences with respect to the reference genome by referring to the index result of the seeds and the alignment result of the seed set. The read sequence alignment method and the read sequence alignment apparatus using the same according to the present invention can perform efficient calculation using correlation among the seeds.
Abstract translation: 本发明涉及一种读取序列比对方法和使用该读取序列比对方法的读取序列比对装置，更具体地，涉及一种使用种子将读取序列与参考基因组相对应的方法和使用其的读取序列比对装置 。 根据本发明的读取序列比对装置包括用于从读取序列创建种子的种子创建单元; 用于在种子之间搜索重复种子的重复种子去除单元，基于关于重复种子的信息索引种子并产生通过从种子中除去重复种子获得的种子组; 用于使种子组相对于参考基因组对准的种子对准单元; 以及读取序列比对单元，用于通过参考种子的索引结果和种子集的比对结果来对齐读取的序列相对于参照基因组。 根据本发明的读取序列比对方法和使用其的读取序列比对装置可以使用种子之间的相关性来执行有效的计算。
-
公开(公告)号：KR1020130029223A
公开(公告)日：2013-03-22
申请号：KR1020110092491
申请日：2011-09-14
Applicant: 한국전자통신연구원
Abstract: PURPOSE: A gait training system, data processing unit thereof, and an operating method of the data processing unit are provided to prevent generation of disease relating to a musculoskeletal system. CONSTITUTION: A wireless communication unit(210) receives acceleration data from a gait sensor device(100). The wireless communication unit receives acceleration data of the moving direction of a pedestrian, acceleration data of the left and right direction of a pedestrian and acceleration data of the upward and downward direction of a pedestrian from the gait sensor device. A 11-shaped gait detection unit(230) judges whether a pedestrian walk in a 11 shape or not using the acceleration data. A display unit(240) provides the information of whether the 11-shaped gait is kept or not. [Reference numerals] (100) Gait sensor device; (110) Acceleration sensor device; (120,210) Wireless communication unit; (200) Data processing device; (220) Preprocessing unit; (230) 11-shaped gait detection unit; (240) Display unit; (250) Data storage unit; (260) Control unit
Abstract translation: 目的：提供一种步态训练系统，其数据处理单元和数据处理单元的操作方法，以防止与肌肉骨骼系统相关的疾病的产生。 构成：无线通信单元（210）从步态传感器装置（100）接收加速度数据。 无线通信单元从步态传感器装置接收行人的移动方向的加速度数据，行人的左右方向的加速度数据和行人的上下方向的加速度数据。 11形态的步态检测单元（230）使用加速度数据判断行人是否为11个形状。 显示单元（240）提供是否保持11形步态的信息。 （附图标记）（100）步态传感器装置; （110）加速度传感器装置; （120,210）无线通信单元; （200）数据处理装置; （220）预处理单元; （230）11形步态检测单元; （240）显示单元; （250）数据存储单元; （260）控制单元
-
公开(公告)号：KR1020110072328A
公开(公告)日：2011-06-29
申请号：KR1020090129206
申请日：2009-12-22
Applicant: 한국전자통신연구원
IPC: A61B5/103
CPC classification number: A61B5/1038 , A61B5/6807 , A61B2562/0247 , A61B2562/046
Abstract: PURPOSE: A method for analyzing a walking pattern is provided to calculate correctly a moving track of a COP(Center Of Pressure) by reflecting a characteristic of an FSR(Force Sensing Resistor) sensor and a characteristic of a frame structure of a foot. CONSTITUTION: A plurality of FSR sensors measures a foot pressure value(S310). The output values of the FSR sensors are pre-processed(S320). A maximum pressure local region is searched(S330). A COP calculation process for the maximum pressure local region is performed(S340). The calculated COP is added to a COP moving track (S350).
Abstract translation: 目的：提供一种分析步行模式的方法，通过反映FSR（力感测电阻）传感器的特性和脚架结构的特性，正确计算COP（压力中心）的移动轨迹。 构成：多个FSR传感器测量脚压值（S310）。 FSR传感器的输出值被预处理（S320）。 搜索最大压力局部区域（S330）。 执行最大压力局部区域的COP计算处理（S340）。 计算出的COP被添加到COP移动轨迹（S350）。
-
公开(公告)号：KR1020110071727A
公开(公告)日：2011-06-29
申请号：KR1020090128368
申请日：2009-12-21
Applicant: 한국전자통신연구원
CPC classification number: G01S19/14 , A43B3/0005 , A61B5/002 , A61B5/1112 , A61B5/1123 , A61B5/6807 , A61B2562/0219 , A61B2562/0247 , A61B2562/046
Abstract: PURPOSE: Smart footwear is provided to remove an inconvenience of elderly people wearing new apparatus and to measure an active mass and a sense of isolation in a daily life. CONSTITUTION: The smart footwear includes a film type leading sensor(110), which measures a change of power added to a smart footwear user as a resistance value, an acceleration sensor(120) measuring an acceleration value according to movement changes of the user, and a microcontroller(130), which predicts a current state and activity mass of the user by using the resistance value and the acceleration value, and creates status information and active mass information of user.
Abstract translation: 目的：提供智能鞋类，消除身患新装置的老年人的不便，并在日常生活中测量活跃的身体和隔离感。 构成：智能鞋类包括胶片型领先传感器（110），其测量作为电阻值添加到智能鞋类用户的功率变化;加速度传感器（120），其根据用户的移动改变来测量加速度值; 以及微控制器（130），其通过使用电阻值和加速度值来预测用户的当前状态和活动质量，并且创建用户的状态信息和活动质量信息。
-
Patent Agency Ranking
公开(公告)号：KR1020110034969A
公开(公告)日：2011-04-06
申请号：KR1020090092483
申请日：2009-09-29
Applicant: 한국전자통신연구원
CPC classification number: G01C22/006 , A43B3/0005 , A61B5/1116 , A61B5/6807 , G06F19/00 , G06F19/3418 , G06F19/3481
Abstract: PURPOSE: A motion recognizing system using footwear for recognizing a motion is provided to correct the posture of a wearer by using information about the motion of a foot, a three dimensional position and the balance of the body of the wearer. CONSTITUTION: Motion recognition footwear(10) measures a height, an acceleration, and the pressure of a foot, preprocesses the measured signal, and transmits the signal to the outside. An information processing terminal(20) analyzes the signal received from the motion recognition footwear, obtains the three dimensional position, the motion of the foot, and the balance of the body of wearer, and provides an application service based on the obtained information.
Abstract translation: 目的：提供使用用于识别运动的鞋类的运动识别系统，以通过使用关于脚的运动，三维位置和穿戴者身体的平衡的信息来校正穿着者的姿势。 规定：运动识别鞋（10）测量脚的高度，加速度和压力，预处理测量信号，并将信号传输到外部。 信息处理终端（20）分析从运动识别鞋类接收的信号，获得三维位置，脚的运动和穿戴者身体的平衡，并根据获得的信息提供应用服务。
-
公开(公告)号：KR100829867B1
公开(公告)日：2008-05-16
申请号：KR1020070038835
申请日：2007-04-20
Applicant: 한국전자통신연구원
IPC: G01N33/48
Abstract: A method for clustering gene using gene expression profile is provided to obtain an accurate clustering result with low calculation complexity without directly designating complicated and detrimental input variations determining quality of a clustering result by clustering a time series gene expression profile data set into a gene group having the similar function. A method for clustering gene using gene expression profile comprises the steps of: (a) calculating a parameter value of each orders of a linear regression model when the gene expression profile is inputted; (b) calculating an F-distribution based probability regarding each of the parameter value calculated linear regression model; and (c) after selecting the linear regression model having a minimum value of the calculated F-distribution based probability, clustering the gene in accordance with the order of the selected linear regression model, wherein the gene is clustered by an increase function or a decrease function according to a sign of the corresponding parameter value when the order of the finally selected linear regression model is 1st(linear) or at least 3rd. or is clustered by a concave function or a convex function according to the sign of the corresponding parameter value when the order of the finally selected linear regression model is 2nd(parabola).
Abstract translation: 提供了使用基因表达谱聚类基因的方法，以获得具有低计算复杂度的精确聚类结果，而没有直接指定通过将时间序列基因表达谱数据集聚集到具有以下基因组的基因组中来确定聚类结果的质量的复杂且有害的输入变异： 类似的功能。 使用基因表达谱聚类基因的方法包括以下步骤：（a）当输入基因表达谱时，计算线性回归模型的每个阶数的参数值; （b）根据参数值计算的线性回归模型计算基于F分布的概率; 和（c）在选择具有所计算的基于F分布的概率的最小值的线性回归模型之后，根据所选择的线性回归模型的顺序聚类基因，其中基因通过增加函数或减少而聚集 当最终选择的线性回归模型的顺序为1（线性）或至少3时，根据相应参数值的符号来函数。 或者当最终选择的线性回归模型的顺序为2（抛物线）时，根据相应参数值的符号，通过凹函数或凸函数进行聚类。
-
公开(公告)号：KR100668413B1
公开(公告)日：2007-01-16
申请号：KR1020050068784
申请日：2005-07-28
Applicant: 한국전자통신연구원
IPC: C12Q1/68
Abstract: 본 발명은 유전자의 발현 패턴 데이터와 단백질 상호작용 데이터를 이용하여 생물학적으로 같은 특정 목적을 수행하는 패스웨이를 예측하는 방법 및 시스템에 관한 것이다. 본 발명에 따른 유전자의 패스웨이 예측 방법은 유전자의 발현 패턴 데이터로부터 유전자 간 패스웨이 추출 알고리즘을 통해 부분 패스웨이를 생성하고, 이 부분 패스웨이를 매칭시켜 그래프 구조로 표시하는 제 1 단계, 유전자의 단백질 상호작용 데이터로부터 패스웨이 추출 알고리즘을 통해 부분 패스웨이를 생성하고, 이 부분 패스웨이를 매칭시켜 그래프 구조로 표시하는 제 2 단계, 및 제 1 단계의 그래프 구조와 제 2 단계의 그래프 구조를 그래프 매칭 알고리즘을 통해 융합하여 그래프 구조로 표시하는 제 3 단계를 포함한다. 이와 같이 본 발명에 따른 패스웨이 예측 방법은 질병 발병 기전이나 경로에 대한 것을 생물학적인 많은 실험을 통한 것이 아니라, 해당 mRNA 발현 패턴과 기존에 밝혀져 있는 단백질 상호작용 데이터를 통해서 예측함으로 시간과 비용을 효율적으로 줄일 수 있으며, 또한, 두 가지 이상의 생물학적 데이터를 사용함으로써 예측 결과의 신뢰성이 향상될 수 있다.
유전자, 발현 패턴, 단백질 상호작용, 패스웨이, 예측-
公开(公告)号：KR102238000B1
公开(公告)日：2021-04-08
申请号：KR1020150066585
申请日：2015-05-13
Applicant: 한국전자통신연구원
Abstract: 인간유전체정보에있어서중요한가장기본적인데이터인대립유전자카운팅(allele counting)값을고속으로추출해내는장치및 방법을제시한다. 제시된장치는인간유전체데이터를포함하는하나이상의 BAM 파일을입력받는 BAM 파일입력부, 및 BAM 파일을근거로대립유전자의수를카운팅하는카운팅부를포함한다.
-
公开(公告)号：KR101903522B1
公开(公告)日：2018-11-23
申请号：KR1020150165491
申请日：2015-11-25
Applicant: 한국전자통신연구원
CPC classification number: G16H10/60 , G06F17/30598 , G06F17/30867 , G06F19/00 , G06N99/005 , G16H50/50 , G16H50/70
Abstract: 본발명은다차원건강데이터에대한유사사례검색방법및 그장치에관한것으로, 더욱상세하게는검색에대한계산복잡도가상당히높은시계열다변량(다차원)의특성을가지는건강데이터를검색하기위해건강데이터의포맷을변환하고학습모델을적용한특징추출을통해서건강데이터의차원을줄임으로써, 검색을위한계산복잡도를줄이고, 효율적인유사사례검색이가능한검색방법및 그장치를제공하고자하는것이다.
-
-
-
-
-
-
-
-
-
Search Results
61
records
(took 0.024 seconds)
