This the implementation of structural SVM for training complex alignment models for protein sequence alignment, especially for homology modeling. The structural SVM algorithm can incorporate many relevant features like secondary structure, relative exposed surface area, profiles and their various interaction into the alignment model. It was developed under Linux and compiles under gcc, built upon the svm^light software by Thorsten Joachims.
標(biāo)簽： implementation structural for alignment
上傳時(shí)間： 2014-01-11
上傳用戶：chenbhdt
A method to improve the alignment performance for GPSIMU System 組合導(dǎo)航對(duì)準(zhǔn)的文章 國(guó)外最新
標(biāo)簽： performance alignment improve method
上傳時(shí)間： 2016-01-20
上傳用戶：as275944189
Pairwise Sequence alignment Algorithm Simulation. Read 2 input strings and then calculate the Pairwise Sequence alignment.
標(biāo)簽： Simulation Algorithm alignment calculate
上傳時(shí)間： 2013-12-10
上傳用戶：tb_6877751
Multiple alignment using hidden Markov models
標(biāo)簽： alignment Multiple Markov hidden
上傳時(shí)間： 2016-07-08
上傳用戶：gundamwzc
I2C interface, is a very powerful tool for system designers. Theintegrated protocols allow systems to be completely software defined.Software development time of different products can be reduced byassembling a library of reusable software modules. In addition, themultimaster capability allows rapid testing and alignment ofend-products via external connections to an assembly-line computer.The mask programmable 87LPC76X and its EPROM version, the87LPC76X, can operate as a master or a slave device on the I2Csmall area network. In addition to the efficient interface to thededicated function ICs in the I2C family, the on-board interfacefacilities I/O and RAM expansion, access to EEPROM andprocessor-to-processor communications.
標(biāo)簽： microcontro Using 76X LPC
上傳時(shí)間： 2013-12-30
上傳用戶：Artemis
In today’s world of modular networking and telecommunications design, it is becomingincreasingly difficult to keep alignment with the many different and often changing interfaces,both inter-board and intra-board. Each manufacturer has their own spin on the way in whichdevices are connected. To satisfy the needs of our customers, we must be able to support alltheir interface requirements. For us to be able to make products for many customers, we mustadopt a modular approach to the design. This modularity is the one issue that drives the majorproblem of shifting our bits from one modular interface to another.
標(biāo)簽： 150 WP 兆兆 網(wǎng)絡(luò)
上傳時(shí)間： 2013-11-25
上傳用戶：suicone
unix或linux下的DNA分析軟件源碼 其功能如下 1. Edit up to 256 peptide or DNA sequences simultaneously. 2. Translates DNA->protein click next to display next frame. 3. Dot matrix plot of any 2 sequences. 4. Rudimentary amino acid statistics (MW and amino acid percentage) 5. Saves matrix plot as PBM image format. 6. Sequence reversal. 7. Creates alignment file for highlight (below). 8. Tab key toggles editing of next sequence.
標(biāo)簽： simultaneously DNA sequences Transla
上傳時(shí)間： 2013-12-13
上傳用戶：lwwhust
HMM基本算法實(shí)現(xiàn)，包括三個(gè)基本算法。scoring,alignment,EM
上傳時(shí)間： 2016-02-23
上傳用戶：253189838
The task of clustering Web sessions is to group Web sessions based on similarity and consists of maximizing the intra- group similarity while minimizing the inter-group similarity． The first and foremost question needed to be considered in clustering W b sessions is how to measure the similarity between Web sessions．However．there are many shortcomings in traditiona1 measurements．This paper introduces a new method for measuring similarities between Web pages that takes into account not only the URL but also the viewing time of the visited web page．Yhen we give a new method to measure the similarity of Web sessions using sequence alignment and the similarity of W eb page access in detail Experiments have proved that our method is valid and e幣cient．
標(biāo)簽： sessions clustering similarity Web
上傳時(shí)間： 2014-01-11
上傳用戶：songrui
Because of the poor observability of Inertial Navigation System on stationary base, the estimation error of the azimuth will converge very slowly in initial alignment by means of Kalmari filtering, and making the time initial alignment is longer. In this paper, a fast estimation method of the azimuth error is creatively proposed for the initial alignment of INS on stationary base. On the basis of the the fast convergence of the leveling error, the azimuth error can be directly calculated. By means of this fast initial alignment method, the time of initial alignment is reduced greatly. The computer simulation results illustrate the efficiency of the method.
標(biāo)簽： observability Navigation estimation stationary
上傳時(shí)間： 2014-01-03
上傳用戶：wuyuying
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